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Feature selection toolbox software package
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SYSNO ASEP 0410787 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Feature selection toolbox software package Author(s) Pudil, Pavel (UTIA-B) RID
Novovičová, Jana (UTIA-B)
Somol, Petr (UTIA-B) RIDSource Title Pattern Recognition Letters. - : Elsevier - ISSN 0167-8655
Roč. 23, č. 4 (2002), s. 487-492Number of pages 6 s. Language eng - English Country NL - Netherlands Keywords pattern recognition ; feature selection ; loating search algorithms Subject RIV BB - Applied Statistics, Operational Research R&D Projects GA402/01/0981 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z1075907 - UTIA-B Annotation Recent advances in the statistical methodology for selecting optimal subsets of features for data representation and classification are presented. The paper attempts to provide a guideline which approach to choose with respect to the extent of a priori knowledge of the problem. Two basic approaches are reviewed and the conditions under which they should be used are specified. A consulting system aimed to guide a user to choose a proper method for the problem at hand is being prepared. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Number of the records: 1