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Notes on the evolution of feature selection methodology
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SYSNO ASEP 0090419 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Notes on the evolution of feature selection methodology Title O vývoji metodologie výběru příznaků Author(s) Somol, Petr (UTIA-B) RID
Novovičová, Jana (UTIA-B)
Pudil, Pavel (UTIA-B) RIDSource Title Kybernetika. - : Ústav teorie informace a automatizace AV ČR, v. v. i. - ISSN 0023-5954
Roč. 43, č. 5 (2007), s. 713-730Number of pages 18 s. Language eng - English Country CZ - Czech Republic Keywords feature selection ; branch and bound ; sequential search ; mixture model Subject RIV IN - Informatics, Computer Science R&D Projects GA102/07/1594 GA ČR - Czech Science Foundation (CSF) 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) IAA2075302 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation The paper gives an overview of feature selection techniques in statistical pattern recognition with particular emphasis on methods developed within the Institute of Information Theory and Automation research team throughout recent years. Besides discussing the advances in methodology since times of Perez's pioneering work the paper attempts to put the methods into a taxonomical framework. The methods discussed include the latest variants of the optimal algorithms, enhanced sub-optimal techniques and the simultaneous semi-parametric probability density function modelling and feature space selection method. Some related issues are illustrated on real data by means of the Feature Selection Toolbox software. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2008
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