About: Improving stability of feature selection methods

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	An improper design of feature selection methods can often lead to incorrect conclusions. Moreover, it is not generally realised that functional values of the criterion guiding the search for the best feature set are random variables with some probability distribution. This contribution examines the influence of several estimation techniques on the consistency of the final result. We propose an entropy based measure which can assess the stability of feature selection methods with respect to perturbations in the data. Results show that filters achieve a better stability and performance if more samples are employed for the estimation, i.e., using leave-one-out cross-validation, for instance. However, the best results for wrappers are acquired with the 50/50 holdout validation. An improper design of feature selection methods can often lead to incorrect conclusions. Moreover, it is not generally realised that functional values of the criterion guiding the search for the best feature set are random variables with some probability distribution. This contribution examines the influence of several estimation techniques on the consistency of the final result. We propose an entropy based measure which can assess the stability of feature selection methods with respect to perturbations in the data. Results show that filters achieve a better stability and performance if more samples are employed for the estimation, i.e., using leave-one-out cross-validation, for instance. However, the best results for wrappers are acquired with the 50/50 holdout validation. (en) An improper design of feature selection methods can often lead to incorrect conclusions. Moreover, it is not generally realised that functional values of the criterion guiding the search for the best feature set are random variables with some probability distribution. This contribution examines the influence of several estimation techniques on the consistency of the final result. We propose an entropy based measure which can assess the stability of feature selection methods with respect to perturbations in the data. Results show that filters achieve a better stability and performance if more samples are employed for the estimation, i.e., using leave-one-out cross-validation, for instance. However, the best results for wrappers are acquired with the 50/50 holdout validation. (cs)
Title	Improving stability of feature selection methods Improving stability of feature selection methods (en) Improving stability of feature selection methods (cs)
skos:prefLabel	Improving stability of feature selection methods Improving stability of feature selection methods (en) Improving stability of feature selection methods (cs)
skos:notation	RIV/68407700:21230/07:03134587!RIV08-MSM-21230___
http://linked.open.../vavai/riv/strany	929;936
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(1M0567)
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Hlaváč, Václav Křížek, Pavel
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	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	425799
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/07:03134587
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Feature selection; entropy; stability (en)
http://linked.open.../riv/klicoveSlovo	Feature selection entropy stability
http://linked.open...ontrolniKodProRIV	[96FF5D7A15CA]
http://linked.open...v/mistoKonaniAkce	Vienna
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	CAIP 2007: Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Centre for Applied Cybernetics
http://linked.open...UplatneniVysledku	2007
http://linked.open...iv/tvurceVysledku	Hlaváč, Václav Křížek, Pavel Kittler, J.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2007-08-27 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-540-74271-5
http://localhost/t...ganizacniJednotka	21230

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