id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_alqo7jualfh3fkcyozrsuuvk3e	Davide Nardone	A Sparse-Modeling Based Approach for Class Specific Feature Selection	2019	25	.pdf	application/pdf	9970	1556	68	Based Approach for Class Specific Feature Selection (SMBA-CSFS), that simultaneously exploits the idea of Sparse Modeling and Class-Specific Feature Selection. A Sparse-Modeling Based Approach for Class Specific Feature Selection. strategy to FS, namely a Sparse-Modeling Based Approach for Class-Specific Feature The sparse-modeling based approach for class-specific feature selection, is based on the Algorithm 1: Sparse-Modeling Based Approach for Class-Specific Feature Selection A General Framework for Class-Specific Feature Selection (GF-CSFS) is described in The proposed SparseModeling Based Approach for Class-Specific Feature Selection (SMBA-CSFS) tries to Figure 1 A Sparse-Modeling Based Approach for Class-Specific Feature Selection. 3. Intra-Class-Specific feature selection: The Sparse-Modeling Based Approach is used for Figure 3 Average ROC curves and the corresponding AUC values on the first 20 features comparing the classification performance among SMBA-CSFS and TFS methods for nine data sets: (A) ALLAML(2), (B) LEUKEMIA(2), (C) CLL_SUB_111(3), (D) GLIOMA(4), (E) LUNG_C(5), (F) LUNG_D(7), https://github.com/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection https://github.com/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection https://github.com/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection https://github.com/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection https://github.com/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection	./cache/work_alqo7jualfh3fkcyozrsuuvk3e.pdf	./txt/work_alqo7jualfh3fkcyozrsuuvk3e.txt