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Sequential Retreating Search Methods in Feature Selection
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SYSNO ASEP 0357268 Druh ASEP V - Výzkumná zpráva Zařazení RIV Záznam nebyl označen do RIV Název Sequential Retreating Search Methods in Feature Selection Tvůrce(i) Somol, Petr (UTIA-B) RID
Pudil, Pavel (UTIA-B) RIDVyd. údaje Praha: ÚTIA, 2010 Edice Research Report Č. sv. edice 2286 Poč.str. 21 s. Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova feature selection ; wrappers ; sequential search ; subset search ; method evaluation ; classifier performance ; pattern recognition Vědní obor RIV BD - Teorie informace CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy IAA2075302 GA AV ČR - Akademie věd CEZ AV0Z10750506 - UTIA-B (2005-2011) Anotace Inspired by Floating Search, our new pair of methods, the Sequential Forward Retreating Search (SFRS) and Sequential Backward Retreating Search (SBRS) is exceptionally suitable for Wrapper based feature selection. (Conversely, it cannot be used with monotonic criteria.) Unlike most of other known sub-optimal search methods, both the SFRS and SBRS are parameter-free deterministic sequential procedures that incorporate in the optimization process both the search for the best subset and the determination of the best subset size. The subset yielded by either of the two new methods is to be expected closer to optimum than the best of all subsets yielded in one run of the Floating Search. Retreating Search time complexity is to be expected slightly worse but in the same order of magnitude as that of the Floating Search. In addition to introducing the new methods we provide a testing framework to evaluate them with respect to other existing tools. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2011
Počet záznamů: 1