id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_66jumwpewnfhfbuvxt6k33exle	B Jeng	Interactive induction of expert knowledge	1996	9	.pdf	application/pdf	7413	1037	76	approach, human experts are responsible f o r solving problems, whereas an inductive learning algorithm induction may generate knowledge that uses paths of restriction o f inductive learning on training examples can solving problems whereas inductive learning algorithms approach that allows a human expert to interact with a set This way, the expert's knowledge is accumulated incrementally and the learning process can be repeated until elicit knowledge from a domain expert is described in Automatic methods that use machine-learning techniques to extract knowledge require less or no experts and inductive learning algorithms. experts) are stored in the rule set and tutorial cases The real world problem is to learn the rules that an expert rules or cases during the knowledge acquisition process. Interactive Induction o f Expert Knowledge 401 Interactive Induction o f Expert Knowledge 401 Interactive Induction o f Expert Knowledge 401 Interactive Induction o f Expert Knowledge 401 	./cache/work_66jumwpewnfhfbuvxt6k33exle.pdf	./txt/work_66jumwpewnfhfbuvxt6k33exle.txt