Unstable feature relevance in classification tasks

Skrypnyk, Iryna

dc.contributor.author	Skrypnyk, Iryna
dc.date.accessioned	2012-01-11T11:55:00Z
dc.date.available	2012-01-11T11:55:00Z
dc.date.issued	2011
dc.identifier.isbn	978-951-39-4608-1
dc.identifier.other	oai:jykdok.linneanet.fi:1191892
dc.identifier.uri	https://jyx.jyu.fi/handle/123456789/37190
dc.format.extent	232 sivua
dc.language.iso	eng
dc.publisher	University of Jyväskylä
dc.relation.ispartofseries	Jyväskylä studies in computing
dc.relation.isversionof	ISBN 978-951-39-4607-4
dc.rights	In Copyright
dc.subject.other	Data mining
dc.subject.other	feature relevance
dc.subject.other	feature selection
dc.subject.other	feature weighting
dc.subject.other	classification
dc.subject.other	clustering
dc.subject.other	ensemble learning
dc.subject.other	knowledge discovery
dc.subject.other	machine learning
dc.title	Unstable feature relevance in classification tasks
dc.type	doctoral thesis
dc.identifier.urn	URN:ISBN:978-951-39-4608-1
dc.type.dcmitype	Text	en
dc.type.ontasot	Väitöskirja	fi
dc.type.ontasot	Doctoral dissertation	en
dc.contributor.tiedekunta	Informaatioteknologian tiedekunta	fi
dc.contributor.tiedekunta	Faculty of Information Technology	en
dc.contributor.yliopisto	University of Jyväskylä	en
dc.contributor.yliopisto	Jyväskylän yliopisto	fi
dc.contributor.oppiaine	Tietojenkäsittelytiede	fi
dc.type.coar	http://purl.org/coar/resource_type/c_db06
dc.relation.issn	1456-5390
dc.relation.numberinseries	152
dc.rights.accesslevel	openAccess
dc.type.publication	doctoralThesis
dc.subject.yso	tiedonhallinta
dc.subject.yso	tiedonlouhinta
dc.subject.yso	tiedonhaku
dc.subject.yso	tietokannat
dc.subject.yso	aineistot
dc.subject.yso	luokitus
dc.subject.yso	analyysi
dc.subject.yso	relevanssi
dc.subject.yso	koneoppiminen
dc.subject.yso	tekoäly
dc.rights.url	https://rightsstatements.org/page/InC/1.0/

Aineistoon kuuluvat tiedostot

Nimi:: 9789513946081.pdf
Koko:: 2.784Mb
Tiedostomuoto:: PDF

Katso/Avaa

Aineisto kuuluu seuraaviin kokoelmiin

Väitöskirjat [3598]

Näytä suppeat kuvailutiedot

Unstable feature relevance in classification tasks

Aineistoon kuuluvat tiedostot

Aineisto kuuluu seuraaviin kokoelmiin

Samankaltainen aineisto

Feature extraction for supervised learning in knowledge discovery systems ﻿

Diversity in Search Strategies for Ensemble Feature Selection ﻿

Improvements and applications of the elements of prototype-based clustering ﻿

Comparison of feature importance measures as explanations for classification models ﻿

Updating strategies for distance based classification model with recursive least squares ﻿

Feature extraction for supervised learning in knowledge discovery systems

Diversity in Search Strategies for Ensemble Feature Selection

Improvements and applications of the elements of prototype-based clustering

Comparison of feature importance measures as explanations for classification models

Updating strategies for distance based classification model with recursive least squares