About: Criteria Ensembles in Feature Selection

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In feature selection the effect of over-fitting may lead to serious degradation of generalization ability. We introduce the concept of combining multiple feature selection criteria in feature selection methods with the aim to obtain feature subsets that generalize better. The concept is applicable with many existing feature selection methods. Here we discuss in more detail the family of sequential search methods. The concept does not specify which criteria to combine – to illustrate its feasibility we give a simple example of combining the estimated accuracy of k-nearest neighbor classifiers for various k.We perform the experiments on a number of datasets. The potential to improve is clearly seen on improved classifier performance on independent test data as well as on improved feature selection stability. In feature selection the effect of over-fitting may lead to serious degradation of generalization ability. We introduce the concept of combining multiple feature selection criteria in feature selection methods with the aim to obtain feature subsets that generalize better. The concept is applicable with many existing feature selection methods. Here we discuss in more detail the family of sequential search methods. The concept does not specify which criteria to combine – to illustrate its feasibility we give a simple example of combining the estimated accuracy of k-nearest neighbor classifiers for various k.We perform the experiments on a number of datasets. The potential to improve is clearly seen on improved classifier performance on independent test data as well as on improved feature selection stability. (en)
Title	Criteria Ensembles in Feature Selection Criteria Ensembles in Feature Selection (en)
skos:prefLabel	Criteria Ensembles in Feature Selection Criteria Ensembles in Feature Selection (en)
skos:notation	RIV/67985556:_____/09:00326643!RIV10-MSM-67985556
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1M0572), P(2C06019), P(GA102/08/0593), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Pudil, Pavel Grim, Jiří Somol, Petr
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	308547
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/09:00326643
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	feature selection; criterion; ensemble; combining criteria (en)
http://linked.open.../riv/klicoveSlovo	ensemble combining criteria feature selection criterion
http://linked.open...ontrolniKodProRIV	[B24DD5157524]
http://linked.open...v/mistoKonaniAkce	Reykjavik
http://linked.open...i/riv/mistoVydani	Berlin Heidelberg
http://linked.open...i/riv/nazevZdroje	Multiple Classifier Systems, LNCS 5519
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making (Medical) Knowledge Acquisition and Modelling BTF Texture Modelling
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Grim, Jiří Pudil, Pavel Somol, Petr
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2009-06-10 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	3-642-02325-8

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