About: Improving feature selection resistance to failures caused by curse-of-dimensionality

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The purpose of feature selection in machine learning is at least two-fold – saving measurement acquisition costs and reducing the negative effects of the curse of dimensionality with the aim to improve the accuracy of the models and the classification rate of classifiers with respect to previously unknown data. Yet it has been shown recently that the process of feature selection itself can be negatively affected by the very same curse of dimensionality – feature selection methods may easily over-fit or perform unstably. Such an outcome is unlikely to generalize well and the resulting recognition system may fail to deliver the expectable performance. In many tasks, it is therefore crucial to employ additional mechanisms of making the feature selection process more stable and resistant the curse of dimensionality effects. In this paper we discuss three different approaches to reducing this problem. The purpose of feature selection in machine learning is at least two-fold – saving measurement acquisition costs and reducing the negative effects of the curse of dimensionality with the aim to improve the accuracy of the models and the classification rate of classifiers with respect to previously unknown data. Yet it has been shown recently that the process of feature selection itself can be negatively affected by the very same curse of dimensionality – feature selection methods may easily over-fit or perform unstably. Such an outcome is unlikely to generalize well and the resulting recognition system may fail to deliver the expectable performance. In many tasks, it is therefore crucial to employ additional mechanisms of making the feature selection process more stable and resistant the curse of dimensionality effects. In this paper we discuss three different approaches to reducing this problem. (en)
Title	Improving feature selection resistance to failures caused by curse-of-dimensionality Improving feature selection resistance to failures caused by curse-of-dimensionality (en)
skos:prefLabel	Improving feature selection resistance to failures caused by curse-of-dimensionality Improving feature selection resistance to failures caused by curse-of-dimensionality (en)
skos:notation	RIV/67985556:_____/11:00368741!RIV12-AV0-67985556
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...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Grim, Jiří Somol, Petr Novovičová, Jana
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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	203968
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/11:00368741
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	feature selection; curse of dimensionality; over-fitting; stability; machine learning; dimensionality reduction (en)
http://linked.open.../riv/klicoveSlovo	over-fitting curse of dimensionality dimensionality reduction stability feature selection machine learning
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[24F2A8535D6D]
http://linked.open...i/riv/nazevZdroje	Kybernetika
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making (Medical) Knowledge Acquisition and Modelling BTF Texture Modelling
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	47
http://linked.open...iv/tvurceVysledku	Grim, Jiří Pudil, P. Somol, Petr Novovičová, Jana
http://linked.open...ain/vavai/riv/wos	000293207900007
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
issn	0023-5954
number of pages	25 (xsd:int)

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