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Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality
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SYSNO ASEP 0348726 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality Tvůrce(i) Somol, Petr (UTIA-B) RID
Novovičová, Jana (UTIA-B)Zdroj.dok. IEEE Transactions on Pattern Analysis and Machine Intelligence. - : IEEE Computer Society - ISSN 0162-8828
Roč. 32, č. 11 (2010), s. 1921-1939Poč.str. 19 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova feature selection ; feature stability ; stability measures ; similarity measures ; sequential search ; individual ranking ; feature subset-size optimization ; high dimensionality ; small sample size Vědní obor RIV BD - Teorie informace CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy GA102/08/0593 GA ČR - Grantová agentura ČR GA102/07/1594 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000281990900001 EID SCOPUS 78149286082 DOI 10.1109/TPAMI.2010.34. Anotace Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning systems. We investigate the problem of evaluating the stability of feature selection processes yielding subsets of varying size. We introduce several novel feature selection stability measures and adjust some existing measures in a unifying framework that offers broad insight into the stability problem. We study in detail the properties of considered measures and demonstrate on various examples what information about the feature selection process can be gained. We also introduce an alternative approach to feature selection evaluation in the form of measures that enable comparing the similarity of two feature selection processes. These measures enable comparing, e.g., the output of two feature selection methods or two runs of one method with different parameters. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2011
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