About: Sequential pattern recognition by maximum conditional informativity

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Sequential pattern recognition assumes the features to be measured successively, one at a time, and therefore the key problem is to choose the next feature optimally. However, the choice of the features may be strongly influenced by the previous feature measurements and therefore the on-line ordering of features is difficult. There are numerous methods to estimate class-conditional probability distributions but it is usually computationally intractable to derive the corresponding conditional marginals. In literature there is no exact method of on-line feature ordering except for the strongly simplifying naive Bayes models. We show that the problem of sequential recognition has an explicit analytical solution which is based on approximation of the class-conditional distributions by mixtures of product components. Sequential pattern recognition assumes the features to be measured successively, one at a time, and therefore the key problem is to choose the next feature optimally. However, the choice of the features may be strongly influenced by the previous feature measurements and therefore the on-line ordering of features is difficult. There are numerous methods to estimate class-conditional probability distributions but it is usually computationally intractable to derive the corresponding conditional marginals. In literature there is no exact method of on-line feature ordering except for the strongly simplifying naive Bayes models. We show that the problem of sequential recognition has an explicit analytical solution which is based on approximation of the class-conditional distributions by mixtures of product components. (en)
Title	Sequential pattern recognition by maximum conditional informativity Sequential pattern recognition by maximum conditional informativity (en)
skos:prefLabel	Sequential pattern recognition by maximum conditional informativity Sequential pattern recognition by maximum conditional informativity (en)
skos:notation	RIV/67985556:_____/14:00428565!RIV15-GA0-67985556
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA14-02652S), P(GA14-10911S)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Grim, Jiří
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	44537
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/14:00428565
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Multivariate statistics; Statistical pattern recognition; Sequential decision making; Product mixtures; EM algorithm; Shannon information (en)
http://linked.open.../riv/klicoveSlovo	Product mixtures Sequential decision making Shannon information Multivariate statistics EM algorithm Statistical pattern recognition
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[D3D25A30E2C6]
http://linked.open...i/riv/nazevZdroje	Pattern Recognition Letters
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Advanced measurement of material appearance Mathematical modeling of surface material appearance
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	45
http://linked.open...iv/tvurceVysledku	Grim, Jiří
http://linked.open...ain/vavai/riv/wos	000337219200006
issn	0167-8655
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.patrec.2014.02.024

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