Feature selection toolbox software package

0410787 - UTIA-B 20020001 RIV NL eng J - Článek v odborném periodiku
Pudil, Pavel - Novovičová, Jana - Somol, Petr
Feature selection toolbox software package.
Pattern Recognition Letters. Roč. 23, č. 4 (2002), s. 487-492. ISSN 0167-8655. E-ISSN 1872-7344
Grant CEP: GA ČR GA402/01/0981
Výzkumný záměr: CEZ:AV0Z1075907
Klíčová slova: pattern recognition * feature selection * loating search algorithms
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
Impakt faktor: 0.409, rok: 2002

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.
Trvalý link: http://hdl.handle.net/11104/0130874