About: Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning systems. We investigate the problem of evaluating the stability of feature selection processes yielding subsets of varying size. We introduce several novel feature selection stability measures and adjust some existing measures in a unifying framework that offers broad insight into the stability problem. We study in detail the properties of considered measures and demonstrate on various examples what information about the feature selection process can be gained. We also introduce an alternative approach to feature selection evaluation in the form of measures that enable comparing the similarity of two feature selection processes. These measures enable comparing, e.g., the output of two feature selection methods or two runs of one method with different parameters. Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning systems. We investigate the problem of evaluating the stability of feature selection processes yielding subsets of varying size. We introduce several novel feature selection stability measures and adjust some existing measures in a unifying framework that offers broad insight into the stability problem. We study in detail the properties of considered measures and demonstrate on various examples what information about the feature selection process can be gained. We also introduce an alternative approach to feature selection evaluation in the form of measures that enable comparing the similarity of two feature selection processes. These measures enable comparing, e.g., the output of two feature selection methods or two runs of one method with different parameters. (en)
Title	Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality (en)
skos:prefLabel	Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality (en)
skos:notation	RIV/67985556:_____/10:00348726!RIV11-MSM-67985556
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1M0572), P(2C06019), P(GA102/07/1594), P(GA102/08/0593), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika	11
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	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	257776
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/10:00348726
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	feature selection; feature stability; stability measures; similarity measures; sequential search; individual ranking; feature subset-size optimization; high dimensionality; small sample size (en)
http://linked.open.../riv/klicoveSlovo	high dimensionality feature selection similarity measures feature stability feature subset-size optimization individual ranking sequential search small sample size stability measures
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[51A084BA282A]
http://linked.open...i/riv/nazevZdroje	IEEE Transactions on Pattern Analysis and Machine Intelligence
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making (Medical) Knowledge Acquisition and Modelling BTF Texture Modelling Recurrent Probabilistic Neural Networks
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	32
http://linked.open...iv/tvurceVysledku	Somol, Petr Novovičová, Jana
http://linked.open...ain/vavai/riv/wos	000281990900001
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
issn	0162-8828
number of pages	19 (xsd:int)

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