This is a table of type bigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
bigram | frequency |
---|---|
et al | 21073 |
peerj comput | 6770 |
pdf http | 3528 |
com computer | 3319 |
com http | 3031 |
html http | 2256 |
international conference | 2203 |
computational linguistics | 1941 |
net mendeley | 1792 |
mendeley fig | 1792 |
machine learning | 1621 |
org citation | 1496 |
natural language | 1357 |
international journal | 1220 |
new york | 1155 |
data set | 1097 |
neural network | 1035 |
computer science | 1022 |
org licenses | 998 |
neural networks | 976 |
org http | 957 |
com https | 953 |
network http | 898 |
map http | 896 |
fig net | 896 |
txt network | 896 |
com vosviewer | 896 |
fig map | 896 |
information http | 871 |
advanced network | 854 |
training data | 854 |
th international | 829 |
label size | 816 |
controls volume | 809 |
org tr | 771 |
language processing | 767 |
science http | 748 |
pdf https | 734 |
reviewed drafts | 729 |
figure shows | 712 |
size doi | 674 |
software engineering | 670 |
machine translation | 664 |
artificial intelligence | 657 |
com en | 636 |
bp bp | 635 |
additional information | 625 |
com academic | 605 |
annual meeting | 571 |
ieee transactions | 569 |
boards editors | 562 |
deep learning | 555 |
proposed method | 551 |
data sets | 551 |
data availability | 543 |
info semantic | 533 |
table shows | 531 |
word embeddings | 529 |
org abs | 529 |
big data | 523 |
supplements http | 522 |
social networks | 508 |
future work | 505 |
competing interests | 500 |
final draft | 495 |
lines http | 485 |
creative commons | 481 |
related work | 477 |
training set | 459 |
data mining | 456 |
prepared figures | 453 |
data collection | 452 |
th annual | 448 |
dependency parsing | 438 |
test set | 436 |
computation work | 430 |
empirical methods | 428 |
feature selection | 426 |
social network | 424 |
experimental results | 416 |
size variation | 411 |
html https | 409 |
lines label | 408 |
convolutional neural | 402 |
united states | 395 |
org proceedings | 393 |
social media | 373 |
com www | 367 |
open source | 367 |
tilewidth tileheight | 360 |
hsamples vsamples | 360 |
tileheight quality | 360 |
large number | 355 |
arxiv preprint | 353 |
automated driving | 351 |
source code | 349 |
word vec | 349 |
supplemental information | 347 |
computer vision | 339 |
ieee international | 337 |
language model | 337 |
computer engineering | 330 |
case study | 326 |
widely used | 326 |
academic editor | 325 |
proceedings nime | 324 |
total number | 321 |
results show | 317 |
semantic web | 314 |
information processing | 309 |
following information | 307 |
knowledge base | 298 |
joint conference | 297 |
feature extraction | 297 |
sentiment analysis | 297 |
previous work | 296 |
proposed model | 295 |
even though | 293 |
standard deviation | 291 |
driving en | 288 |
net ark | 288 |
analysis tools | 288 |
domain name | 287 |
support vector | 285 |
corresponding author | 284 |
author contributions | 282 |
commons cc | 281 |
editors https | 281 |
declarations funding | 281 |
editors http | 281 |
page doi | 281 |
sensor network | 277 |
supplied regarding | 276 |
cc paper | 276 |
human language | 275 |
regarding data | 273 |
cloud computing | 272 |
test data | 271 |
pressportal com | 267 |
id http | 267 |
www pressportal | 267 |
en themes | 267 |
open access | 267 |
software development | 265 |
contributed reagents | 265 |
processing systems | 264 |
network analysis | 263 |
pattern recognition | 262 |
recurrent neural | 260 |
neural information | 260 |
based approach | 257 |
shared task | 254 |
materials analysis | 253 |
reagents materials | 253 |
language models | 250 |
mobility study | 247 |
study en | 246 |
commonly used | 244 |
data points | 240 |
north american | 240 |
media pressreleases | 240 |
gb media | 240 |
wang et | 239 |
org html | 237 |
gerhard marquart | 237 |
eb bab | 235 |
assets uuid | 235 |
nl assets | 235 |
classification accuracy | 234 |
li et | 233 |
topic models | 232 |
objective function | 232 |
supervised learning | 231 |
zhang et | 228 |
algorithm based | 227 |
named entity | 226 |
different types | 225 |
access control | 223 |
preprint arxiv | 223 |
university press | 223 |
time series | 221 |
topic model | 220 |
study design | 219 |
word segmentation | 219 |
org xpl | 217 |
least one | 217 |
xpl articledetails | 217 |
data analysis | 216 |
ipv address | 216 |
see fig | 216 |
information technology | 215 |
signal processing | 214 |
linked data | 214 |
statistically significant | 213 |
statistical machine | 212 |
network structure | 212 |
decision tree | 211 |
international workshop | 211 |
technological university | 210 |
american chapter | 210 |
com questions | 209 |
two different | 206 |
information systems | 206 |
authors declare | 204 |
virtual machine | 203 |
point cloud | 202 |
gold standard | 200 |
random forest | 200 |
semantic parsing | 198 |
zip http | 197 |
org rfc | 197 |
rfc rfc | 196 |
word embedding | 196 |
pdf documents | 195 |
word vectors | 195 |
proposed algorithm | 195 |
edu netlogo | 194 |
url http | 194 |
output layer | 194 |
collaborative filtering | 193 |
commons attribution | 193 |
based methods | 193 |
technical report | 193 |
data sources | 193 |
plos one | 192 |
allows us | 191 |
proposed approach | 191 |
grant information | 190 |
following grant | 190 |
semantic role | 189 |
aspx http | 189 |
wide web | 188 |
clustering algorithm | 188 |
execution time | 187 |
hidden layer | 187 |
grant disclosures | 187 |
adobe reader | 186 |
pos tags | 186 |
action editor | 186 |
mit press | 186 |
hand gesture | 185 |
cloud storage | 185 |
technology google | 185 |
dataset http | 184 |
carnegie mellon | 183 |
com com | 183 |
mellon university | 183 |
fold cross | 183 |
th acm | 182 |
vector space | 182 |
world wide | 182 |
publicly available | 181 |
method based | 181 |
large scale | 181 |
jpeg coloracsimagedict | 180 |
vsamples jpeg | 180 |
jpeg grayacsimagedict | 180 |
word sense | 180 |
quality jpeg | 180 |
error rate | 180 |
srgb iec | 180 |
language technologies | 179 |
tr rec | 179 |
unitedkingdom mpc | 178 |
corporate sales | 178 |
org anthology | 178 |
fleet leasing | 178 |
uk content | 178 |
home mpc | 178 |
ee ca | 178 |
unitedkingdom website | 178 |
home corporate | 178 |
adobe pdf | 178 |
content unitedkingdom | 178 |
sales fleet | 178 |
advantages safety | 178 |
website en | 178 |
efa acb | 178 |
ef ee | 178 |
test sets | 178 |
en home | 178 |
mpc unitedkingdom | 178 |
passengercars home | 178 |
mpc mpc | 178 |
mpc passengercars | 178 |
learning research | 177 |
learning algorithm | 177 |
content uploads | 177 |
based models | 177 |
virtual reality | 177 |
three different | 177 |
com global | 175 |
recent years | 174 |
mikolov et | 174 |
global en | 173 |
pressreleases volvo | 173 |
information science | 173 |
neural machine | 171 |
safety technology | 171 |
data processing | 171 |
development set | 171 |
see table | 171 |
operating system | 170 |
make use | 170 |
wide range | 169 |
international license | 168 |
information retrieval | 168 |
ip address | 167 |
com blog | 167 |
authors published | 167 |
org conference | 167 |
bioscientifica ltd | 167 |
image processing | 166 |
future network | 166 |
international joint | 165 |
recommender systems | 164 |
edu data | 164 |
working group | 164 |
sessions presentation | 164 |
gene expression | 163 |
knowledge discovery | 163 |
liu et | 163 |
net http | 163 |
first step | 162 |
supplementary material | 162 |
elm algorithm | 161 |
com articles | 161 |
presentation li | 161 |
word problems | 161 |
better performance | 161 |
loss function | 161 |
decimal network | 161 |
technology parking | 160 |
search space | 160 |
coreference resolution | 159 |
control system | 158 |
feature vector | 158 |
language learning | 158 |
deep neural | 156 |
com abstract | 156 |
international symposium | 156 |
input data | 156 |
language modeling | 156 |
learning algorithms | 156 |
overridelayout true | 155 |
docs library | 155 |
go portal | 155 |
learning rate | 155 |
com irj | 155 |
irj scn | 155 |
word representations | 155 |
portal prtroot | 155 |
scn go | 155 |
quicklink index | 155 |
index overridelayout | 155 |
prtroot docs | 155 |
library uuid | 155 |
parse tree | 154 |
found online | 154 |
true http | 154 |
sample size | 154 |
control software | 154 |
gesture recognition | 154 |
random walk | 154 |
org doi | 153 |
see section | 153 |
txt https | 152 |
com dataset | 152 |
user interface | 152 |
probability distribution | 151 |
free access | 151 |
information supplemental | 150 |
named entities | 150 |
tp arnumber | 150 |
org fxpls | 150 |
jsp farnumber | 150 |
arnumber url | 150 |
power consumption | 150 |
fxpls fabs | 150 |
small number | 150 |
logistic regression | 149 |
via free | 149 |
ltd downloaded | 149 |
model based | 149 |
relation extraction | 149 |
handle https | 149 |
pm via | 149 |
blog musings | 149 |
question answering | 148 |
fully connected | 147 |
html rfc | 147 |
vector machine | 146 |
next section | 146 |
energy consumption | 146 |
term memory | 146 |
logical form | 146 |
computational linguis | 145 |
linear regression | 145 |
computational lin | 144 |
pr automated | 144 |
en pr | 144 |
themes press | 144 |
releases topics | 144 |
press releases | 144 |
topics automated | 144 |
lecture notes | 143 |
top active | 143 |
two types | 142 |
doi pdf | 142 |
face recognition | 142 |
university user | 142 |
role labeling | 141 |
cosine similarity | 141 |
activation function | 141 |
com mailto | 141 |
network architecture | 141 |
speech recognition | 140 |
prior knowledge | 139 |
ground truth | 138 |
tional linguistics | 138 |
chen et | 138 |
labeled data | 138 |
feature ranking | 137 |
com wp | 136 |
data source | 136 |
research questions | 136 |
feature set | 136 |
software developers | 136 |
pos tagging | 136 |
results obtained | 135 |
original data | 134 |
com projects | 134 |
data science | 134 |
entity recognition | 134 |
data using | 133 |
application profile | 133 |
uploads tn | 133 |
based method | 133 |
org https | 132 |
means algorithm | 132 |
wu et | 132 |
ipv network | 132 |
domain adaptation | 131 |
university xi | 131 |
computational biology | 131 |
may also | 131 |
future research | 131 |
link prediction | 130 |
ieee computer | 130 |
uk en | 130 |
also used | 129 |
lee et | 129 |
based model | 129 |
long papers | 128 |
sandboxing http | 128 |
time complexity | 127 |
yoshua bengio | 127 |
dcat application | 127 |
learning methods | 127 |
search engine | 126 |
active authors | 125 |
coordinate system | 125 |
ieee conference | 125 |
network model | 124 |
profile asset | 124 |
webtraffic click | 124 |
release dcat | 124 |
asset dcat | 124 |
based approaches | 124 |
target area | 124 |
nan webtraffic | 124 |
netlogo https | 124 |
edu groups | 124 |
eu asset | 124 |
groups nan | 124 |
artificial neural | 124 |
simulation results | 124 |
asset release | 124 |
computer society | 124 |
best results | 124 |
association rules | 124 |
raw data | 123 |
channel mobility | 123 |
access https | 123 |
com mobile | 123 |
en ov | 123 |
devices ces | 123 |
mobile mobile | 123 |
never actually | 123 |
model parameters | 123 |
ov mobility | 123 |
initiatives channel | 123 |
final https | 123 |
themes initiatives | 123 |
target language | 123 |
let us | 123 |
material gerhard | 122 |
real time | 122 |
system based | 122 |
learning techniques | 122 |
bab supplementary | 122 |
en https | 122 |
may never | 121 |
features extracted | 121 |
personal space | 121 |
pos tag | 121 |
prior work | 121 |
insulin resistance | 120 |
acm transactions | 120 |
better results | 120 |
literature review | 120 |
graph embedding | 120 |
en products | 120 |
high performance | 119 |
acm conference | 119 |
google self | 119 |
joakim nivre | 119 |
driving car | 119 |
two main | 119 |
language pairs | 119 |
actually happen | 119 |
long short | 119 |
upper bound | 118 |
active learning | 118 |
entity linking | 118 |
programming language | 118 |
technology technology | 118 |
articles technology | 118 |
statistical analysis | 118 |
figure illustrates | 118 |
putational linguistics | 118 |
self driving | 118 |
remote sensing | 117 |
data file | 117 |
natural lan | 117 |
documents web | 117 |
joint model | 117 |
stellent groups | 116 |
document wtp | 116 |
communications documents | 116 |
web document | 116 |
groups corporatesite | 116 |
policy communications | 116 |
uk stellent | 116 |
archive visual | 116 |
org ore | 116 |
corporatesite policy | 116 |
org docs | 116 |
vcblog archive | 116 |
current state | 116 |
time step | 115 |
previous studies | 115 |
using different | 115 |
pull requests | 115 |
netlogo models | 115 |
prediction model | 115 |
performance evaluation | 114 |
closely related | 114 |
word problem | 114 |
thesis report | 114 |
parallel data | 114 |
report gerhard | 113 |
bab thesis | 113 |
language resources | 113 |
sciences life | 113 |
experimental setup | 113 |
research world | 113 |
services pharma | 113 |
edu papers | 113 |
van der | 113 |
correlation coefficient | 112 |
across different | 112 |
engineering xi | 112 |
relay node | 112 |
annual conference | 112 |
org wiki | 112 |
coding challenge | 112 |
free energy | 112 |
significant difference | 112 |
tree structure | 111 |
recommender system | 111 |
computer security | 111 |
detection algorithm | 111 |
high level | 111 |
semantic publishing | 111 |
association rule | 111 |
american journal | 110 |
best performance | 110 |
deep copy | 110 |
sdata data | 110 |
policies repositories | 110 |
classification model | 110 |
com software | 110 |
com sdata | 110 |
use case | 109 |
adjacency matrix | 109 |
mutual information | 109 |
edu ml | 109 |
repositories http | 109 |
root node | 109 |
web services | 109 |
submission batch | 109 |
information security | 109 |
threshold value | 109 |
dependency tree | 108 |
org publicdomain | 108 |
previous section | 108 |
optimization problem | 108 |
also known | 108 |
randomly selected | 108 |
acm international | 108 |
determine whether | 108 |
publicdomain zero | 108 |
optimal solution | 108 |
matrix factorization | 108 |
final report | 108 |
adipose tissue | 108 |
training time | 107 |
th conference | 107 |
acm sigkdd | 107 |
significantly better | 107 |
mobile phone | 107 |
maximum number | 107 |
different levels | 106 |
significant differences | 106 |
address space | 106 |
clustering algorithms | 106 |
data structures | 106 |
uk government | 106 |
reinforcement learning | 106 |
model using | 106 |
com products | 106 |
information extraction | 106 |
text classification | 106 |
noun phrases | 106 |
see figure | 105 |
network security | 105 |
com archives | 105 |
public key | 105 |
amsterdam mlitb | 104 |
network data | 104 |
dan klein | 104 |
apriori algorithm | 104 |
archives microsoft | 104 |
org spar | 104 |
attachment data | 103 |
com trendlabs | 103 |
rfc https | 103 |
uploads system | 103 |
data center | 103 |
center http | 103 |
word pairs | 103 |
uploads attachment | 103 |
evaluation metrics | 103 |
intelligence exploring | 103 |
feature vectors | 103 |
complexity curve | 103 |
first two | 103 |
government uploads | 103 |
system uploads | 103 |
learning models | 102 |
monitoring system | 102 |
coding challenges | 102 |
tational linguistics | 102 |
result set | 102 |
driver assistance | 102 |
arg max | 101 |
batch size | 101 |
monte carlo | 101 |
org datacitationimplementation | 101 |
deep convolutional | 101 |
tensor cores | 101 |
means clustering | 101 |
cambridge university | 101 |
ali et | 101 |
based systems | 101 |
operating systems | 101 |
ieee th | 101 |
will also | 100 |
computational natural | 100 |
speech tagging | 100 |
features forward | 100 |
download library | 100 |
dld final | 100 |
trained using | 100 |
library deliverables | 100 |
socher et | 100 |
eu download | 100 |
coupe features | 100 |
word similarity | 100 |
vehicles information | 100 |
information accord | 100 |
word alignment | 100 |
park assistant | 100 |
deliverables eurofotsp | 100 |
new data | 100 |
successful counselors | 100 |
com vehicles | 100 |
nucleic acids | 100 |
starting point | 100 |
control group | 99 |
iso iec | 99 |
showroom driver | 99 |
assistance park | 99 |
warning http | 99 |
two groups | 99 |
pull request | 99 |
particle swarm | 99 |
gram model | 99 |
science foundation | 99 |
en newvehicles | 99 |
rd international | 99 |
domain knowledge | 99 |
org web | 99 |
acids research | 98 |
au lee | 98 |
literature technicalpapers | 98 |
average number | 98 |
regression model | 98 |
clinical endocrinology | 98 |
technicalpapers pt | 98 |
deep subseafloor | 98 |
networks http | 98 |
www literature | 98 |
octet platform | 97 |
injection attacks | 97 |
dimensionality reduction | 97 |
one hand | 97 |
data acquisition | 97 |
optimization algorithm | 97 |
vector machines | 97 |
attention mechanism | 97 |
data centers | 97 |
image classification | 97 |
behavior trees | 97 |
target word | 97 |
revision batch | 97 |
mechanical turk | 97 |
input layer | 97 |
org documentation | 97 |
data structure | 97 |
datacitationimplementation https | 97 |
anonymous reviewers | 97 |
subseafloor biosphere | 97 |
pawns http | 96 |
classification performance | 96 |
platform brochure | 96 |
fortebio octet | 96 |
topic modeling | 96 |
yang et | 96 |
upload pages | 96 |
au upload | 96 |
brochure low | 96 |
large amount | 96 |
gradient descent | 96 |
sentiment classification | 96 |
pages fortebio | 96 |
cae servlet | 95 |
window size | 95 |
recent work | 95 |
linear programming | 95 |
also show | 95 |
aaai conference | 95 |
publicationfile standard | 95 |
servlet contentblob | 95 |
az corpus | 95 |
de cae | 95 |
coupled file | 95 |
yes yes | 95 |
richard socher | 95 |
computational complexity | 95 |
dynamic programming | 95 |
business process | 95 |
contentblob publicationfile | 95 |
org iso | 94 |
cross validation | 94 |
org spec | 94 |
com dccom | 94 |
ipv protocol | 94 |
normal distribution | 94 |
rd annual | 94 |
source software | 94 |
makarov et | 94 |
xml http | 93 |
cc time | 93 |
arithmetic word | 93 |
network information | 93 |
com article | 93 |
community detection | 93 |
cf df | 93 |
binary classification | 93 |
lessons learned | 93 |
linear model | 93 |
sentence pairs | 93 |
com fakenmc | 92 |
real world | 92 |
ui scientific | 92 |
hidden state | 92 |
traits ui | 92 |
ml datasets | 92 |
catalogue detail | 92 |
data statements | 92 |
network monitoring | 92 |
tutorials traits | 92 |
catalogue tc | 92 |
ld blob | 92 |
yoav goldberg | 92 |
scientific app | 92 |
geojson geojson | 92 |
tc catalogue | 92 |
fakenmc pphpc | 92 |
tree netlogo | 92 |
projects traits | 92 |
com geojson | 92 |
learning approach | 92 |
docs html | 92 |
nlp tasks | 92 |
traits docs | 92 |
eada cc | 92 |
pphpc tree | 92 |
online social | 92 |
html tutorials | 92 |
weight vector | 92 |
bounding box | 92 |
svm classifier | 92 |
high quality | 92 |
rating prediction | 92 |
traffic flow | 91 |
scientific computing | 91 |
dataset challenge | 91 |
false pdfx | 91 |
representation learning | 91 |
tree master | 91 |
short papers | 91 |
ys xs | 91 |
chris dyer | 91 |
model trained | 91 |
model performance | 91 |
md https | 91 |
ro alext | 91 |
encodepages false | 90 |
subsetfonts true | 90 |
ucrandbginfo preserve | 90 |
false embedallfonts | 90 |
quality antialiasgrayimages | 90 |
setdistillerparams hwresolution | 90 |
grayimagedict qfactor | 90 |
web coated | 90 |
ptb feff | 90 |
detectblends true | 90 |
parsedsccomments true | 90 |
monoimageresolution monoimagedepth | 90 |
pdfx check | 90 |
onlinepubs conferences | 90 |
false colorsettingsfile | 90 |
false allowtransparency | 90 |
coloracsimagedict tilewidth | 90 |
jpeg grayimagedict | 90 |
programming languages | 90 |
org onlinepubs | 90 |
warning compatibilitylevel | 90 |
preserveoverprintsettings true | 90 |
true colorimagefilter | 90 |
true opm | 90 |
false maxsubsetpct | 90 |
uk sht | 90 |
preserveopicomments false | 90 |
leavecolorunchanged dothumbnails | 90 |
webarch identification | 90 |
allowpsxobjects false | 90 |
true embedjoboptions | 90 |
coloracsimagedict qfactor | 90 |
preservecopypage true | 90 |
table presents | 90 |
alwaysembed true | 90 |
suo feff | 90 |
false preserveopicomments | 90 |
vsamples grayimagedict | 90 |
defaultrenderingintent default | 90 |
emitdscwarnings false | 90 |
false endpage | 90 |
grayacsimagedict tilewidth | 90 |
automation presentations | 90 |
compresspages true | 90 |
conferences automation | 90 |
esp feff | 90 |
binding left | 90 |
true preserveepsinfo | 90 |
transferfunctioninfo apply | 90 |
preserve useprologue | 90 |
true passthroughjpegimages | 90 |
colorconversionstrategy leavecolorunchanged | 90 |
false defaultrenderingintent | 90 |
true preservehalftoneinfo | 90 |
preservehalftoneinfo false | 90 |
true monoimagefilter | 90 |
apply ucrandbginfo | 90 |
deu feff | 90 |
presentations gasser | 90 |
four different | 90 |
embedjoboptions true | 90 |
true pdfxbleedboxtotrimboxoffset | 90 |
acheck false | 90 |
false autopositionepsfiles | 90 |
encodegrayimages true | 90 |
assurance cases | 90 |
quality antialiasmonoimages | 90 |
embedallfonts true | 90 |
grayimagedict tilewidth | 90 |
dot gain | 90 |
jpn feff | 90 |
ascii encodepages | 90 |
encodecolorimages true | 90 |
antialiasmonoimages false | 90 |
pdfxsetbleedboxtomediabox true | 90 |
vsamples colorimagedict | 90 |
true neverembed | 90 |
encodemonoimages true | 90 |
false pdfxnotrimboxerror | 90 |
coated swop | 90 |
autopositionepsfiles true | 90 |
passthroughjpegimages true | 90 |
antialiasgrayimages false | 90 |
imagememory lockdistillerparams | 90 |
colorimageresolution colorimagedepth | 90 |
convertimagestoindexed true | 90 |
grayimageresolution grayimagedepth | 90 |
antialiascolorimages false | 90 |
default detectblends | 90 |
objective optimization | 90 |
true startpage | 90 |
preserveepsinfo true | 90 |
true grayimagefilter | 90 |
maxsubsetpct optimize | 90 |
colorimagedict qfactor | 90 |
true parsedsccommentsfordocinfo | 90 |
sht az | 90 |
dothumbnails false | 90 |
anomaly detection | 90 |
pdfx acheck | 90 |
true convertimagestoindexed | 90 |
colorimagedict tilewidth | 90 |
pdfxnotrimboxerror true | 90 |
pdfxcompliantpdfonly false | 90 |
true pdfxtrimboxtomediaboxoffset | 90 |
dan feff | 90 |
allowtransparency false | 90 |
true dscreportinglevel | 90 |
false pdfxcompliantpdfonly | 90 |
true autorotatepages | 90 |
grayacsimagedict qfactor | 90 |
left calgrayprofile | 90 |
lockdistillerparams false | 90 |
neverembed true | 90 |
check false | 90 |
ccittfaxencode monoimagedict | 90 |
false preserveoverprintsettings | 90 |
opm parsedsccomments | 90 |
sve feff | 90 |
createjobticket false | 90 |
true preservecopypage | 90 |
jpeg colorimagedict | 90 |
optimize true | 90 |
fra feff | 90 |
useprologue false | 90 |
dscreportinglevel emitdscwarnings | 90 |
ita feff | 90 |
true transferfunctioninfo | 90 |
createjdffile false | 90 |
tr webarch | 90 |
parsedsccommentsfordocinfo true | 90 |
colorimageautofilterstrategy jpeg | 90 |
startpage subsetfonts | 90 |
true antialiascolorimages | 90 |
hwresolution pagesize | 90 |
grayimageautofilterstrategy jpeg | 90 |
transfer learning | 90 |
cannotembedfontpolicy warning | 90 |
monoimagefilter ccittfaxencode | 90 |
simulateoverprint legacy | 89 |
false omitplacedeps | 89 |
true embedopentype | 89 |
none pdfx | 89 |
algorithmic composer | 89 |
na downsample | 89 |
true includebookmarks | 89 |
bitimages true | 89 |
addbleedmarks false | 89 |
cropcolorimages true | 89 |
kor feffc | 89 |
true colorimageminresolution | 89 |
useobjectsettings namespace | 89 |
maken voor | 89 |
chs feff | 89 |
colorimagemindownsampledepth colorimagedownsamplethreshold | 89 |
cropgrayimages true | 89 |
grayimagemindownsampledepth grayimagedownsamplethreshold | 89 |
leaveuntagged usedocumentbleed | 89 |
grayimageminresolutionpolicy ok | 89 |
true untaggedcmykhandling | 89 |
true createjobticket | 89 |
parse trees | 89 |
mediumresolution formelements | 89 |
voor kwaliteitsafdrukken | 89 |
om adobe | 89 |
omitplacedbitmaps false | 89 |
false cropgrayimages | 89 |
cea fa | 89 |
kunnen worden | 89 |
interactive scenarios | 89 |
much larger | 89 |
false createjdffile | 89 |
false description | 89 |
monoimageminresolution monoimageminresolutionpolicy | 89 |
desktopprinters en | 89 |
pdfxoutputintentprofileselector na | 89 |
ok downsamplecolorimages | 89 |
usedocumentbleed false | 89 |
flattenerignorespreadoverrides false | 89 |
virtual machines | 89 |
parseiccprofilesincomments true | 89 |
documenten te | 89 |
convertcolors noconversion | 89 |
classification task | 89 |
addcropmarks false | 89 |
destinationprofileselector na | 89 |
omitplacedeps false | 89 |
legacy addbleedmarks | 89 |
flattenerpreset presetselector | 89 |
false parseiccprofilesincomments | 89 |
includeslug false | 89 |
colorimageminresolutionpolicy ok | 89 |
includeinteractive false | 89 |
documenten kunnen | 89 |
instellingen om | 89 |
lin et | 89 |
springer international | 89 |
warnandcontinue flattenerignorespreadoverrides | 89 |
quality printing | 89 |
preserveflatness true | 89 |
false simulateoverprint | 89 |
created pdf | 89 |
false generatestructure | 89 |
true detectcurves | 89 |
cropmonoimages true | 89 |
efa ef | 89 |
false cropcolorimages | 89 |
false addpageinfo | 89 |
true grayimageminresolution | 89 |
false includenonprinting | 89 |
na preserveediting | 89 |
formelements false | 89 |
op desktopprinters | 89 |
true multimediahandling | 89 |
gemaakte pdf | 89 |
false includeguidesgrids | 89 |
false cropimagestoframes | 89 |
en proofers | 89 |
addregmarks false | 89 |
preservedicmykvalues true | 89 |
includenonprinting false | 89 |
includelayers false | 89 |
pdfxtrapped false | 89 |
preserveediting true | 89 |
monoimageminresolutionpolicy ok | 89 |
df efa | 89 |
false addregmarks | 89 |
false convertcolors | 89 |
leaveuntagged untaggedrgbhandling | 89 |
false includeprofiles | 89 |
errorcontrol warnandcontinue | 89 |
eb fc | 89 |
false includeinteractive | 89 |
create adobe | 89 |
worden geopend | 89 |
false omitplacedpdf | 89 |
acrobat en | 89 |
noconversion destinationprofilename | 89 |
grayimageminresolution grayimageminresolutionpolicy | 89 |
includeprofiles true | 89 |
downsample bitimages | 89 |
de gemaakte | 89 |
three types | 89 |
false setdistillerparams | 89 |
based clustering | 89 |
ok downsamplegrayimages | 89 |
omitplacedpdf false | 89 |
untaggedrgbhandling leaveuntagged | 89 |
en hoger | 89 |
deze instellingen | 89 |
multimediahandling useobjectsettings | 89 |
ok downsamplemonoimages | 89 |
false includelayers | 89 |
checkcompliance none | 89 |
kwaliteitsafdrukken op | 89 |
cropimagestoframes true | 89 |
false includeslug | 89 |
true preserveflatness | 89 |
false addcropmarks | 89 |
othernamespaces asreaderspreads | 89 |
false addcolorbars | 89 |
includeguidesgrids false | 89 |
cht feff | 89 |
presetselector mediumresolution | 89 |
false namespace | 89 |
feff ad | 89 |
embedopentype false | 89 |
geopend met | 89 |
generatestructure true | 89 |
desktop printers | 89 |
acb ef | 89 |
includehyperlinks false | 89 |
ef dan | 89 |
asreaderspreads false | 89 |
true errorcontrol | 89 |
efa cht | 89 |
true preservedicmykvalues | 89 |
addpageinfo false | 89 |
untaggedcmykhandling leaveuntagged | 89 |
ef ef | 89 |
gebruik deze | 89 |
en adobe | 89 |
true monoimageminresolution | 89 |
met acrobat | 89 |
description chs | 89 |
false checkcompliance | 89 |
logical forms | 89 |
false includehyperlinks | 89 |
te maken | 89 |
addcolorbars false | 89 |
true flattenerpreset | 89 |
false cropmonoimages | 89 |
colorimageminresolution colorimageminresolutionpolicy | 89 |
includebookmarks false | 89 |
flateencode autofiltercolorimages | 88 |
false grayimagedownsampletype | 88 |
edu robin | 88 |
false grayimageautofilterstrategy | 88 |
csnumber http | 88 |
robersonlab ngg | 88 |
sense disambiguation | 88 |
ieee access | 88 |
downsamplecolorimages false | 88 |
autofiltercolorimages false | 88 |
dependency parser | 88 |
autofiltergrayimages false | 88 |
com robersonlab | 88 |
grayimagedownsampletype average | 88 |
average monoimageresolution | 88 |
grayimagedepth grayimagemindownsampledepth | 88 |
grayimagefilter flateencode | 88 |
identification http | 88 |
downsamplegrayimages false | 88 |
empirical studies | 88 |
average colorimageresolution | 88 |
false monoimagedownsampletype | 88 |
autorotatepages none | 88 |
none binding | 88 |
false colorimagedownsampletype | 88 |
national academy | 88 |
international publishing | 88 |
false colorimageautofilterstrategy | 88 |
average grayimageresolution | 88 |
colorimagedownsampletype average | 88 |
colorimagefilter flateencode | 88 |
downsamplemonoimages false | 88 |
colorimagedepth colorimagemindownsampledepth | 88 |
flateencode autofiltergrayimages | 88 |
monoimagedownsampletype average | 88 |
corporate media | 87 |
files glossaries | 87 |
glossaries itil | 87 |
com corporate | 87 |
also use | 87 |
glossary gb | 87 |
uk webteam | 87 |
itil glossary | 87 |
media files | 87 |
target domain | 87 |
hidden markov | 87 |
references ascii | 87 |
name spru | 87 |
webteam gateway | 87 |
data augmentation | 87 |
pdf site | 87 |
destination node | 87 |
org publications | 87 |
gateway file | 87 |
use cases | 87 |
markov model | 86 |
training corpus | 86 |
oldid http | 86 |
knowledge graph | 86 |
berlin heidelberg | 86 |
social sciences | 86 |
mlrepository http | 86 |
title sandbox | 86 |
cad system | 86 |
edu mlearn | 86 |
error correction | 86 |
generative model | 86 |
scenarios http | 86 |
random graph | 86 |
mlearn mlrepository | 86 |
paper title | 86 |
nearest neighbor | 86 |
semantic analysis | 86 |
based dcs | 86 |
smart city | 86 |
image segmentation | 85 |
pattern analysis | 85 |
innovation safety | 85 |
technology safety | 85 |
internet explorer | 85 |
site https | 85 |
calculated using | 85 |
amino acid | 85 |
ipv ipv | 85 |
michael collins | 85 |
different ways | 85 |
xc mvjx | 85 |
development data | 85 |
tcp ip | 85 |
com innovation | 85 |
two sets | 85 |
systematic review | 84 |
input sentence | 84 |
technology connecteddrive | 84 |
full model | 84 |
insights technology | 84 |
network embedding | 84 |
vector representation | 84 |
different data | 84 |
decision making | 84 |
human factors | 84 |
significantly higher | 84 |
store catalogue | 84 |
knowledge bases | 84 |
en insights | 84 |
sigkdd international | 84 |
data management | 84 |
kyunghyun cho | 84 |
entropic centrality | 84 |
com turingmachineenumerationnksversuslexicographical | 84 |
recognition using | 84 |
recommendation algorithm | 84 |
best practices | 83 |
org package | 83 |
parking http | 83 |
edu tesfatsi | 83 |
turingmachineenumerationnksversuslexicographical http | 83 |
tesfatsi netlogorelogoreview | 83 |
xu et | 83 |
authors received | 83 |
ieee acm | 83 |
high accuracy | 83 |
training dataset | 83 |
products ip | 83 |
science drug | 83 |
home store | 83 |
iso home | 83 |
de la | 83 |
spec core | 82 |
data model | 82 |
network coding | 82 |
initial value | 82 |
conference atc | 82 |
performs better | 82 |
core http | 82 |
set size | 82 |
present study | 82 |
important role | 82 |
classification using | 82 |
psychic distance | 82 |
peroni balisagevol | 82 |
yao et | 82 |
com site | 82 |
tomas mikolov | 82 |
one another | 82 |
html peroni | 82 |
word vector | 82 |
unlabeled data | 82 |
null hypothesis | 82 |
li yanlin | 82 |
relatively small | 82 |
proceedings vol | 82 |
feature space | 82 |
management system | 82 |
chest ct | 82 |
mirella lapata | 82 |
net proceedings | 82 |
vol html | 82 |
perform better | 82 |
org datacitation | 82 |
atc technical | 82 |
publications files | 82 |
obtained using | 81 |
news http | 81 |
sensor networks | 81 |
confusion vec | 81 |
source node | 81 |
hidden layers | 81 |
train train | 81 |
rfa curves | 81 |
next step | 81 |
fan et | 81 |
rule mining | 81 |
recurrent layer | 81 |
genetic algorithm | 81 |
data streams | 81 |
expert systems | 80 |
vector representations | 80 |
many cases | 80 |
iq evolution | 80 |
li mu | 80 |
yanlin https | 80 |
article view | 80 |
andrew mccallum | 80 |
huang et | 80 |
ipv addresses | 80 |
mark johnson | 80 |
implementation http | 80 |
meta kernel | 80 |
intelligent systems | 80 |
table summarizes | 80 |
org atchm | 80 |
org meta | 80 |
jsonld http | 80 |
doc datacite | 80 |
org iq | 80 |
osdi technical | 79 |
decision trees | 79 |
php aaai | 79 |
degree nodes | 79 |
infogain rforest | 79 |
running time | 79 |
aaai paper | 79 |
org cgi | 79 |
rforest relief | 79 |
conference osdi | 79 |
st ecma | 79 |
distant supervision | 79 |
com introducing | 79 |
beam search | 79 |
scientific research | 79 |
machine intelligence | 79 |
ocs index | 79 |
com alexsafatli | 79 |
learning model | 79 |
relief svmrfe | 79 |
user profiles | 79 |
will use | 79 |
gender api | 79 |
relevant features | 79 |
ad hoc | 79 |
vehicles http | 79 |
ra cy | 79 |
org ocs | 79 |
aaai aaai | 79 |
alexsafatli pylogeny | 79 |
network system | 79 |
files ecma | 79 |
noun phrase | 79 |
news articles | 79 |
com poking | 79 |
personal networks | 78 |
vice versa | 78 |
statistical significance | 78 |
com support | 78 |
bayesian network | 78 |
empirical study | 78 |
response time | 78 |
wide variety | 78 |
false positives | 78 |
content negotiation | 78 |
type diabetes | 78 |
ryan mcdonald | 78 |
docs http | 78 |
edu abstract | 78 |
ipv header | 78 |
convolutional networks | 77 |
gender homophily | 77 |
two words | 77 |
int iris | 77 |
records fulltext | 77 |
large data | 77 |
new generation | 77 |
prediction accuracy | 77 |
com personalized | 77 |
support documentation | 77 |
analysis using | 77 |
mu https | 77 |
different values | 77 |
se records | 77 |
computational cost | 77 |
iris bitstream | 77 |
com siri | 77 |
fulltext local | 77 |
language technology | 77 |
best performing | 76 |
statistical test | 76 |
software process | 76 |
de winter | 76 |
lippmeier project | 76 |
three main | 76 |
article viewarticle | 76 |
metadata mdb | 76 |
net jakkbl | 76 |
tr xmlschema | 76 |
item sets | 76 |
penn treebank | 76 |
data used | 76 |
research council | 76 |
software citation | 76 |
phrase table | 76 |
hand gestures | 76 |
br revistas | 76 |
revistas index | 76 |
thesis thesis | 76 |
system using | 76 |
project thesis | 76 |
time period | 76 |
scoring function | 76 |
bjis article | 76 |
php bjis | 76 |
md metadata | 76 |
missing data | 76 |
motus index | 75 |
bitstream eng | 75 |
com de | 75 |
abstracts nageldinger | 75 |
energy files | 75 |
article context | 75 |
routing table | 75 |
translation quality | 75 |
natural neighbour | 75 |
parameter values | 75 |
auxiliary material | 75 |
cgi viewcontent | 75 |
material motus | 75 |
frequent item | 75 |
based system | 75 |
uk technology | 75 |
programm abstracts | 75 |
org energy | 75 |
au ben | 75 |
interest packet | 75 |
viewarticle http | 75 |
patent corpus | 75 |
files data | 75 |
th ieee | 75 |
pylogeny http | 75 |
cnn model | 75 |
fog nodes | 75 |
component analysis | 75 |
rdf http | 75 |
nageldinger ab | 75 |
manoeuvring park | 75 |
energy level | 75 |
de programm | 75 |
pupil diameter | 74 |
en india | 74 |
ua http | 74 |
edu en | 74 |
quantitative reasoning | 74 |
cache replacement | 74 |
br tavares | 74 |
old http | 74 |
mean value | 74 |
notes xapp | 74 |
documentation application | 74 |
take advantage | 74 |
state space | 74 |
hidden states | 74 |
knot http | 74 |
case studies | 74 |
org pypi | 74 |
textual entailment | 74 |
application notes | 74 |
maximum likelihood | 74 |
original image | 74 |
image fusion | 74 |
tavares auxiliary | 74 |
computational intelligence | 73 |
latent variable | 73 |
recognition system | 73 |
national conference | 73 |
constraint graph | 73 |
latent dirichlet | 73 |
storage system | 73 |
based parsing | 73 |
spread spectrum | 73 |
knott http | 73 |
supreme court | 73 |
ilya sutskever | 73 |
gradient boosting | 73 |
research papers | 73 |
scientific literature | 73 |
personal network | 73 |
information sciences | 73 |
overrated http | 73 |
nd annual | 73 |
nd international | 73 |
assist http | 73 |
first time | 72 |
article us | 72 |
pipermail ns | 72 |
com jonyepsilon | 72 |
dependency trees | 72 |
edu pipermail | 72 |
prediction task | 72 |
cost function | 72 |
jonyepsilon flow | 72 |
long time | 72 |
paper download | 72 |
intellectual property | 72 |
chris callison | 72 |
computing systems | 72 |
much better | 72 |
using deep | 72 |
collision detection | 72 |
download attachments | 72 |
fernandes et | 72 |
defect prediction | 72 |
based sentiment | 72 |
code injection | 72 |
san francisco | 72 |
computer systems | 72 |
classification problem | 72 |
web http | 71 |
ng ml | 71 |
pubs cassell | 71 |
network topology | 71 |
frequent itemsets | 71 |
stream processing | 71 |
neural net | 71 |
best model | 71 |
de marneffe | 71 |
confusion matrix | 71 |
adaptor grammars | 71 |
computational resources | 71 |
stocky imagina | 71 |
bl http | 71 |
iot devices | 71 |
peerj computer | 71 |
web pages | 71 |
research question | 71 |
driver genes | 71 |
ieee symposium | 71 |
message bus | 70 |
review rating | 70 |
guage processing | 70 |
ore documents | 70 |
com file | 70 |
edu tstocky | 70 |
semantic parser | 70 |
load balancing | 70 |
random variables | 70 |
habich patacsdb | 70 |
tstocky pubs | 70 |
grid search | 70 |
learning representations | 70 |
node vec | 70 |
ca lisa | 70 |
com maintenance | 70 |
sample sizes | 70 |
com habich | 70 |
semantic roles | 70 |
european conference | 70 |
download https | 70 |
documents compoundobjects | 70 |
slav petrov | 70 |
dirichlet allocation | 70 |
naive bayes | 70 |
lisa pointeurs | 70 |
context cais | 70 |
bitstream handle | 70 |
computer graphics | 69 |
org vol | 69 |
forwarder node | 69 |
edu download | 69 |
arnumber http | 69 |
training sets | 69 |
file http | 69 |
random number | 69 |
site alexandrutopirceanu | 69 |
support threshold | 69 |
input image | 69 |
quickparts learning | 69 |
chang et | 69 |
sun et | 69 |
new method | 69 |
data http | 69 |
cais http | 69 |
backfire effect | 69 |
spare parts | 69 |
com quickparts | 69 |
attachments arkcdl | 69 |
word types | 69 |
user profile | 69 |
united kingdom | 69 |
label classification | 69 |
models trained | 69 |
training process | 69 |
aspect extraction | 69 |
luke zettlemoyer | 69 |
network working | 69 |
com technology | 69 |
projects socialsim | 69 |
cloud data | 69 |
alexandrutopirceanu projects | 69 |
skip list | 69 |
maintenance collision | 68 |
kuhn et | 68 |
wkc webpublication | 68 |
euclidean distance | 68 |
input text | 68 |
software http | 68 |
clustering results | 68 |
semantic models | 68 |
error detection | 68 |
conll shared | 68 |
text mining | 68 |
classification algorithms | 68 |
acceleratable cycle | 68 |
performance metrics | 68 |
web application | 68 |
theano scipy | 68 |
figure comparison | 68 |
nearest neighbors | 68 |
webpublication paperdigest | 68 |
two robots | 68 |
performance computing | 68 |
molecular biology | 68 |
network based | 68 |
semantic similarity | 68 |
org behind | 68 |
sentence length | 68 |
st international | 68 |
deep http | 68 |
information flow | 68 |
cn wkc | 68 |
activity recognition | 68 |
flow https | 68 |
online learning | 68 |
different methods | 68 |
better understand | 68 |
pointeurs theano | 68 |
landingpages handout | 67 |
san diego | 67 |
made available | 67 |
billero genizahdocumentsannotationdata | 67 |
blood pressure | 67 |
travel route | 67 |
prediction results | 67 |
uas las | 67 |
paper presents | 67 |
small set | 67 |
support http | 67 |
state university | 67 |
socialsim https | 67 |
language pair | 67 |
human mobility | 67 |
rdap landingpages | 67 |
error analysis | 67 |
rdap rdap | 67 |
fog computing | 67 |
amcis soctech | 67 |
model checking | 67 |
patacsdb http | 67 |
gov rdap | 67 |
without propagation | 67 |
wavelet transform | 67 |
false positive | 67 |
org amcis | 67 |
com uk | 67 |
robot swarm | 67 |
soctech generalpresentations | 67 |
web search | 67 |
smart factory | 67 |
il billero | 67 |
unicast address | 66 |
user experience | 66 |
models using | 66 |
temporal information | 66 |
different models | 66 |
tei ab | 66 |
also called | 66 |
wireless sensor | 66 |
tiagoft motus | 66 |
org content | 66 |
generalpresentations http | 66 |
annotator agreement | 66 |
source language | 66 |
van durme | 66 |
wrevmtehhquxjowm edit | 66 |
computational efficiency | 66 |
zhu et | 66 |
regina barzilay | 66 |
xtf view | 66 |
root domain | 66 |
com tiagoft | 66 |
com hugadams | 66 |
health care | 66 |
linguistic features | 66 |
docid tei | 66 |
slightly better | 66 |
evaluation results | 66 |
edu xtf | 66 |
hugadams pame | 66 |
will show | 66 |
memory pool | 66 |
random walks | 66 |
dh abstracts | 66 |
time needed | 66 |
art methods | 66 |
two methods | 66 |
social science | 66 |
stochastic gradient | 66 |
based dependency | 66 |
power supply | 65 |
constrained objects | 65 |
section describes | 65 |
http content | 65 |
perform well | 65 |
matrix converter | 65 |
classification problems | 65 |
linear models | 65 |
jason eisner | 65 |
coupled files | 65 |
edu bitstream | 65 |
results suggest | 65 |
skill ranking | 65 |
two parts | 65 |
grammar induction | 65 |
mobile applications | 65 |
similarity scores | 65 |
temporal constrained | 65 |
data engineering | 65 |
experimental data | 65 |
two nodes | 65 |
communication system | 65 |
htm http | 65 |
population size | 65 |
org dataset | 65 |
ct scans | 65 |
following two | 65 |
two approaches | 65 |
power system | 65 |
pressreleases https | 65 |
schleicher et | 64 |
intelligence research | 64 |
operator type | 64 |
files icml | 64 |
docs web | 64 |
learning method | 64 |
en cs | 64 |
publishing tag | 64 |
system will | 64 |
exact acceleration | 64 |
travel time | 64 |
papers uploads | 64 |
model selection | 64 |
gov publishing | 64 |
weight matrix | 64 |
exponential random | 64 |
icml ahn | 64 |
proceedings lrec | 64 |
fr downloads | 64 |
las uas | 64 |
less likely | 64 |
home files | 64 |
edit https | 64 |
downloads papers | 64 |
uploads pachet | 64 |
millimeter wave | 64 |
random variable | 64 |
lrec pdf | 64 |
detection method | 64 |
pdf paper | 64 |
edge computing | 64 |
semantic parsers | 64 |
clustering center | 64 |
st annual | 64 |
based translation | 64 |
semantic syntactic | 64 |
opportunistic routing | 64 |
site home | 64 |
may lead | 64 |
htmldocs confranking | 64 |
science figure | 64 |
maximum value | 64 |
network models | 64 |
dataset https | 64 |
dan roth | 64 |
bmc bioinformatics | 64 |
fourier transform | 64 |
ct images | 63 |
rapid development | 63 |
language pro | 63 |
unsupervised learning | 63 |
edu babaks | 63 |
object detection | 63 |
com author | 63 |
factorcell model | 63 |
system files | 63 |
translation models | 63 |
frequently used | 63 |
expression tree | 63 |
research cb | 63 |
address length | 63 |
projects art | 63 |
heart rate | 63 |
esa docs | 63 |
digital libraries | 63 |
structured prediction | 63 |
test results | 63 |
software quality | 63 |
markov chain | 63 |
dimensional space | 63 |
section id | 63 |
negative examples | 63 |
betweenness centrality | 63 |
national science | 63 |
art software | 63 |
sugarscape gpu | 63 |
papers sugarscape | 63 |
gibbs sampling | 63 |
files swj | 63 |
citizen science | 63 |
phrase pairs | 63 |
next header | 63 |
ca zaiane | 63 |
doc id | 63 |
precision recall | 63 |
docs sst | 63 |
parent node | 63 |
cb projects | 63 |
research areas | 63 |
babaks site | 63 |
id doc | 63 |
results showed | 63 |
zaiane htmldocs | 63 |
net system | 63 |
cs research | 63 |
network layer | 63 |
ontology http | 63 |
conditional random | 62 |
edu tech | 62 |
rmdsouza papers | 62 |
uploaded memo | 62 |
science https | 62 |
reactive robots | 62 |
dl features | 62 |
performed using | 62 |
tis wil | 62 |
sond tis | 62 |
cervical cancer | 62 |
similar results | 62 |
org uploaded | 62 |
use two | 62 |
splay tree | 62 |
memo newman | 62 |
worth noting | 62 |
papers sond | 62 |
wil breeding | 62 |
reports tr | 62 |
training sentences | 62 |
good performance | 62 |
open data | 62 |
pame https | 62 |
tech reports | 62 |
uk cogsci | 62 |
medical image | 62 |
com technologies | 62 |
black spot | 62 |
es jmaestro | 62 |
cogsci pdf | 62 |
bleu score | 62 |
citation cit | 62 |
second step | 62 |
noise source | 62 |
tr tr | 62 |
motus https | 62 |
los angeles | 62 |
data integration | 62 |
negotiation https | 62 |
latent variables | 62 |
peer review | 62 |
jmaestro esa | 62 |
validation set | 62 |
permutation testing | 62 |
details cp | 62 |
technologies details | 62 |
centric networking | 62 |
reports reports | 62 |
models wolfsheeppredation | 62 |
operations research | 62 |
identificationinfo mri | 62 |
integer linear | 62 |
edu rmdsouza | 62 |
publications umtri | 61 |
thyroid hormones | 61 |
much higher | 61 |
shortest path | 61 |
network interface | 61 |
name system | 61 |
often used | 61 |
dyer et | 61 |
detection using | 61 |
stochastic optimization | 61 |
view http | 61 |
bayesian model | 61 |
publishing challenge | 61 |
tr note | 61 |
zhao et | 61 |
cantor set | 61 |
research software | 61 |
philipp koehn | 61 |
guo et | 61 |
research community | 61 |
swarm optimization | 61 |
tools msp | 61 |
confidence interval | 61 |
sports resources | 61 |
community structure | 61 |
fiber bragg | 61 |
initial state | 61 |
proceedings papers | 61 |
initial clustering | 61 |
xie jianping | 61 |
data storage | 61 |
hit rate | 61 |
recent advances | 61 |
com science | 61 |
knowledge management | 61 |
ct scan | 61 |
local context | 61 |
much smaller | 61 |
engineering research | 61 |
electrical engineering | 61 |
minimum support | 61 |
first one | 61 |
publication drrxi | 60 |
dissertation top | 60 |
uk changyu | 60 |
name server | 60 |
complex systems | 60 |
collaboration networks | 60 |
search algorithm | 60 |
johnson et | 60 |
dimensional vector | 60 |
reprints dyson | 60 |
edu driving | 60 |
htm https | 60 |
bragg grating | 60 |
whittle et | 60 |
feature map | 60 |
feature sets | 60 |
level features | 60 |
short term | 60 |
linear function | 60 |
kim et | 60 |
second language | 60 |
dong ranking | 60 |
pubs dissertation | 60 |
data transmission | 60 |
drrxi manuscript | 60 |
random fields | 60 |
fielding pubs | 60 |
driving publications | 60 |
trained word | 60 |
com reprints | 60 |
statistical tests | 60 |
wolfsheeppredation http | 60 |
learning based | 60 |
european journal | 60 |
markov models | 60 |
dyson excerpt | 60 |
data will | 60 |
object schema | 60 |
based learning | 60 |
two classes | 60 |
development process | 60 |
new approach | 60 |
previous research | 60 |
detailsvocabulary sro | 59 |
much less | 59 |
matos torch | 59 |
wendi publication | 59 |
mark steedman | 59 |
webservice http | 59 |
cognitive science | 59 |
dependency graph | 59 |
lov detailsvocabulary | 59 |
art results | 59 |
em algorithm | 59 |
pubs article | 59 |
virtual environment | 59 |
org pubs | 59 |
uk proceedings | 59 |
concept drift | 59 |
skeletal muscle | 59 |
edu wendi | 59 |
dataset lov | 59 |
higher level | 59 |
john wiley | 59 |
lfr methods | 59 |
com pub | 59 |
pub matos | 59 |
based parser | 59 |
moving average | 59 |
principal component | 59 |
neighbour interpolation | 59 |
torch nipsw | 59 |
makes use | 59 |
blob master | 59 |
data flow | 59 |
content http | 59 |
edu fielding | 59 |
data exchange | 59 |
gov pmc | 58 |
syntactic structure | 58 |
file system | 58 |
sentiment words | 58 |
based features | 58 |
convolutional layer | 58 |
destination address | 58 |
implementation details | 58 |
dataset mrc | 58 |
ral language | 58 |
view id | 58 |
cshare opt | 58 |
acceptance rate | 58 |
proposed system | 58 |
system model | 58 |
digital domain | 58 |
data security | 58 |
two kinds | 58 |
communication technology | 58 |
phd thesis | 58 |
streaming data | 58 |
slp slp | 58 |
org article | 58 |
html jacobsl | 58 |
three tasks | 58 |
data instances | 58 |
using eq | 58 |
bleu scores | 58 |
weighted average | 58 |
interior point | 58 |
com ko | 58 |
freely available | 58 |
different languages | 58 |
de db | 58 |
issues volume | 58 |
db conf | 58 |
mathematical model | 58 |
id cshare | 58 |
dependency parsers | 58 |
com techreports | 58 |
error states | 58 |
mrc microsoftacademic | 58 |
conf slp | 58 |
network address | 58 |
gives us | 57 |
objective functions | 57 |
uniform distribution | 57 |
carvalho et | 57 |
van erp | 57 |
jacobsl http | 57 |
science google | 57 |
large datasets | 57 |
figure presents | 57 |
graph models | 57 |
packet classification | 57 |
memory usage | 57 |
pareto front | 57 |
org papers | 57 |
across multiple | 57 |
average value | 57 |
web conference | 57 |
matlabcentral fileexchange | 57 |
learning process | 57 |
image recognition | 57 |
well known | 57 |
phrase embeddings | 57 |
org ecpa | 57 |
pmc articles | 57 |
computer networks | 57 |
pooling layer | 57 |
microsoftacademic http | 57 |
com matlabcentral | 57 |
test time | 57 |
file changes | 57 |
handcrafted features | 57 |
correlation analysis | 57 |
local features | 57 |
software maintenance | 57 |
bahdanau et | 57 |
alext socialsim | 57 |
dipanjan das | 57 |
science mailto | 57 |
quality characteristics | 57 |
significantly different | 57 |
socialsim http | 57 |
articles pmc | 57 |
oxford university | 57 |
better understanding | 57 |
uk http | 57 |
table ii | 57 |
robot swarms | 56 |
challenge dataset | 56 |
table comparison | 56 |
edu awdl | 56 |
tang et | 56 |
ammem award | 56 |
finite state | 56 |
distributed computing | 56 |
learning approaches | 56 |
maintenance tasks | 56 |
persona vec | 56 |
web page | 56 |
papers rabinowitz | 56 |
based access | 56 |
done using | 56 |
base classifiers | 56 |
also include | 56 |
evaluation metric | 56 |
improve performance | 56 |
connected components | 56 |
awdl isaw | 56 |
feature engineering | 56 |
private key | 56 |
fileexchange http | 56 |
first stage | 56 |
air quality | 56 |
public health | 56 |
wiley sons | 56 |
building blocks | 56 |
docs purl | 56 |
two ways | 56 |
org dlib | 56 |
ural language | 56 |
virtual environments | 56 |
best result | 56 |
isaw isaw | 56 |
image data | 56 |
next generation | 56 |
seq seq | 56 |
award docs | 56 |
tional conference | 56 |
gov ammem | 56 |
flow chart | 56 |
results indicate | 55 |
using machine | 55 |
esv esv | 55 |
gov pdf | 55 |
level model | 55 |
cder drugsatfda | 55 |
using two | 55 |
word order | 55 |
language understanding | 55 |
sharma et | 55 |
scripts cder | 55 |
every time | 55 |
using word | 55 |
ux practitioners | 55 |
papers matas | 55 |
two sentences | 55 |
rabinowitz http | 55 |
statistical methods | 55 |
generative models | 55 |
highest scoring | 55 |
random forests | 55 |
mapld abstracts | 55 |
similarity score | 55 |
neural computation | 55 |
gov scripts | 55 |
projective dependency | 55 |
pdf esv | 55 |
lower bound | 55 |
stubborn agents | 55 |
web service | 55 |
mobile communication | 55 |
model outperforms | 55 |
equation tree | 55 |
data platform | 55 |
copeptin levels | 55 |
char char | 55 |
spar doco | 55 |
acm symposium | 55 |
qualitative analysis | 55 |
org mapld | 55 |
abstracts aguirre | 55 |
bf http | 55 |
human activity | 55 |
entity mentions | 55 |
noise ratio | 55 |
html draft | 55 |
techreports hpl | 55 |
dataset contains | 55 |
selection algorithm | 55 |
kuhrmann et | 55 |
concrete nouns | 55 |
one way | 54 |
task learning | 54 |
stre pinheiro | 54 |
language process | 54 |
information system | 54 |
dency parsing | 54 |
pmc http | 54 |
smith et | 54 |
software repositories | 54 |
usenix association | 54 |
data citation | 54 |
tu et | 54 |
network science | 54 |
mining algorithm | 54 |
com activities | 54 |
experiments show | 54 |
special case | 54 |
see also | 54 |
high precision | 54 |
end users | 54 |
parameter tuning | 54 |
also consider | 54 |
software artifacts | 54 |
phillips et | 54 |
pinheiro load | 54 |
resources ontology | 54 |
annotated data | 54 |
computed using | 54 |
drugsatfda http | 54 |
vocabulary size | 54 |
translation model | 54 |
good results | 54 |
gov sites | 54 |
entity types | 54 |
secrecy outage | 54 |
cz matas | 54 |
org services | 54 |
communication network | 54 |
item set | 54 |
kolmogorov complexity | 54 |
two models | 54 |
march altman | 54 |
parameter estimation | 54 |
also provides | 54 |
dlib march | 54 |
matas papers | 54 |
standard deviations | 54 |
ci citation | 54 |
also includes | 54 |
root server | 54 |
authors data | 54 |
activities citable | 54 |
altman altman | 54 |
mlitb https | 54 |
malware detection | 54 |
information theory | 54 |
evolutionary computation | 54 |
three levels | 54 |
following section | 53 |
useful information | 53 |
julius stre | 53 |
time interval | 53 |
berant et | 53 |
papers pdf | 53 |
php conference | 53 |
gsmn without | 53 |
hierarchical structure | 53 |
au index | 53 |
research methods | 53 |
natural science | 53 |
allow us | 53 |
recommendation system | 53 |
network traffic | 53 |
aspect category | 53 |
european chapter | 53 |
classification results | 53 |
br julius | 53 |
highest degree | 53 |
com twitter | 53 |
martins et | 53 |
geographic information | 53 |
jason weston | 53 |
work role | 53 |
european union | 53 |
multilevel networks | 53 |
sample data | 53 |
weakly supervised | 53 |
automatic evaluation | 53 |
pires et | 53 |
cluster center | 53 |
data clustering | 53 |
data format | 53 |
background model | 53 |
reality gap | 53 |
significant improvement | 53 |
org issues | 53 |
system architecture | 53 |
methods used | 53 |
generative process | 53 |
org wgiii | 53 |
synthetic data | 53 |
analogy task | 53 |
dominant male | 53 |
web applications | 53 |
semantic relations | 53 |
method uses | 53 |
different aspects | 53 |
contextual information | 52 |
uk download | 52 |
guofei sec | 52 |
generative adversarial | 52 |
log likelihood | 52 |
object schemas | 52 |
activation policy | 52 |
models heatbugs | 52 |
higher accuracy | 52 |
distributed representations | 52 |
word senses | 52 |
contamination delay | 52 |
acc gds | 52 |
opinion change | 52 |
edu guofei | 52 |
php http | 52 |
allowed us | 52 |
monolingual data | 52 |
info lodexporter | 52 |
gurunath shivakumar | 52 |
different sizes | 52 |
computer interaction | 52 |
compact groups | 52 |
problem solving | 52 |
martha palmer | 52 |
interpolation method | 52 |
probability distributions | 52 |
word list | 52 |
oil pump | 52 |
neat drummer | 52 |
capsule network | 52 |
graphical models | 52 |
ngg manuscript | 52 |
guidelines http | 52 |
software product | 52 |
sec conf | 52 |
hamming distance | 52 |
word pair | 52 |
statistics http | 52 |
computational semantics | 52 |
sites gdsbrowser | 52 |
topic modelling | 52 |
en ce | 52 |
dos santos | 52 |
conf stat | 52 |
serving data | 52 |
different kinds | 52 |
new model | 52 |
chinese word | 52 |
art performance | 52 |
another example | 52 |
multiple times | 52 |
source sentence | 52 |
filtering algorithm | 52 |
paper proposes | 52 |
org wd | 52 |
true positive | 52 |
svmrfe random | 52 |
train test | 52 |
supervised training | 52 |
internet protocol | 52 |
significantly lower | 52 |
declarative knowledge | 52 |
clustering methods | 52 |
sky line | 51 |
automatic design | 51 |
traces papers | 51 |
real data | 51 |
org ns | 51 |
heatbugs http | 51 |
security system | 51 |
new network | 51 |
mean number | 51 |
acm press | 51 |
storage space | 51 |
wilcoxon rank | 51 |
quality assessment | 51 |
softmax layer | 51 |
sampled data | 51 |
matrix depot | 51 |
rankings http | 51 |
word type | 51 |
empirical software | 51 |
sw hcls | 51 |
hcls notes | 51 |
data generated | 51 |
documentation serving | 51 |
info pubo | 51 |
iatul altmetrics | 51 |
org sw | 51 |
edu iatul | 51 |
across languages | 51 |
available online | 51 |
consider two | 51 |
api calls | 51 |
error rates | 51 |
experimental design | 51 |
collobert et | 51 |
peerj preprints | 51 |
training procedure | 51 |
property rights | 51 |
kr traces | 51 |
papers imc | 51 |
pdf asplos | 51 |
operational research | 51 |
net publication | 51 |
positive examples | 51 |
graph theory | 51 |
replacement schemes | 51 |
research explorer | 51 |
feature function | 51 |
crf model | 51 |
performance measures | 51 |
le ft | 51 |
change suggestions | 51 |
level behaviors | 51 |
net eldredge | 51 |
pubo pubo | 51 |
dimou et | 51 |
notes hcls | 51 |
processing time | 50 |
lee papers | 50 |
swarm robotics | 50 |
existing methods | 50 |
also allows | 50 |
ark arkcdl | 50 |
information sources | 50 |
datacitation workinggroup | 50 |
total cost | 50 |
domain data | 50 |
training examples | 50 |
practical applications | 50 |
probabilistic model | 50 |
papers pawns | 50 |
concrete syntax | 50 |
joint models | 50 |
many different | 50 |
emotion recognition | 50 |
publication http | 50 |
centrality measures | 50 |
dimitargnikolov web | 50 |
th european | 50 |
ipv client | 50 |
classification algorithm | 50 |
vec model | 50 |
com essepuntato | 50 |
propagation gsimn | 50 |
large amounts | 50 |
block diagram | 50 |
altmetrics http | 50 |
iodp iodp | 50 |
different classes | 50 |
manuscript https | 50 |
sentence pair | 50 |
power saving | 50 |
base station | 50 |
diglib ark | 50 |
confirmed cases | 50 |
crosswords crossword | 50 |
world health | 50 |
blog mar | 50 |
comparative study | 50 |
code https | 50 |
least squares | 50 |
inside diglib | 50 |
also shows | 50 |
accuracy rate | 50 |
reloaded http | 50 |
propagation gsmn | 50 |
essepuntato rash | 50 |
license plate | 50 |
analysis methods | 50 |
parallel corpora | 50 |
first layer | 50 |
catak et | 50 |
user interfaces | 50 |
org inside | 50 |
context information | 50 |
mobile cloud | 50 |
com crosswords | 50 |
two tasks | 50 |
information diffusion | 50 |
hal daume | 50 |
hadi et | 50 |
playing time | 50 |
com dimitargnikolov | 50 |
context gate | 50 |
low power | 50 |