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Evaluating the Stability of Feature Selectors that Optimize Feature Subset Cardinality
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SYSNO ASEP 0317506 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Evaluating the Stability of Feature Selectors that Optimize Feature Subset Cardinality Title Vyhodnocení stability metod výběru příznaků, které optimalizují kardinalitu podmnožin příznaků Author(s) Somol, Petr (UTIA-B) RID
Novovičová, Jana (UTIA-B)Source Title Lecture Notes in Computer Science - ISSN 0302-9743
Roč. 2008, č. 5342 (2008), s. 956-966Number of pages 11 s. Publication form CD ROM - CD ROM Action Joint IAPR International Workshops SSPR 2008 and SPR 2008 Event date 04.12.2008-06.12.2008 VEvent location Orlando Country US - United States Event type WRD Language eng - English Country DE - Germany Keywords Feature selection ; stability ; relative weighted consistency measure ; sequential search ; floating search Subject RIV IN - Informatics, Computer Science R&D Projects 1ET400750407 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA102/07/1594 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) DOI 10.1007/978-3-540-89689-0 Annotation Stability (robustness) of feature selection methods is a topic of recent interest. Unlike other known stability criteria, the new consistency measures proposed in this paper evaluate the overall occurrence of individual features in selected subsets of possibly varying cardinality. The new measures are compared to the generalized Kalousis measure which evaluates pairwise similarities between subsets. The new measures are computationally very effective and offer more than one type of insight into the stability problem. All considered measures have been used to compare two standard feature selection methods on a set of examples. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2009
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