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Statements

Subject Item
n2:RIV%2F60460709%3A41110%2F05%3A14227%21RIV06-MSM-41110___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
This paper deals with the classification of objects into the limited number of classes. Objects are characterised by n-features, e.g. n-dimensional vectors describe them. The paper focuses on the Bayes classifier based on the probability principle, with the fixed number of the features during classification process. Bayes classifier, which uses criterion of the minimum error was applied on the set of the multispectral data. This paper deals with the classification of objects into the limited number of classes. Objects are characterised by n-features, e.g. n-dimensional vectors describe them. The paper focuses on the Bayes classifier based on the probability principle, with the fixed number of the features during classification process. Bayes classifier, which uses criterion of the minimum error was applied on the set of the multispectral data. This paper deals with the classification of objects into the limited number of classes. Objects are characterised by n-features, e.g. n-dimensional vectors describe them. The paper focuses on the Bayes classifier based on the probability principle, with the fixed number of the features during classification process. Bayes classifier, which uses criterion of the minimum error was applied on the set of the multispectral data.
dcterms:title
Bayes Classifier In Multidimensional Data Classification Bayes Classifier In Multidimensional Data Classification Bayesův klasifikátor a klasifikace mnohorozměrnáých dat
skos:prefLabel
Bayes Classifier In Multidimensional Data Classification Bayesův klasifikátor a klasifikace mnohorozměrnáých dat Bayes Classifier In Multidimensional Data Classification
skos:notation
RIV/60460709:41110/05:14227!RIV06-MSM-41110___
n3:strany
188;192
n3:aktivita
n7:Z
n3:aktivity
Z(MSM6046070904)
n3:dodaniDat
n6:2006
n3:domaciTvurceVysledku
n18:8283036
n3:druhVysledku
n12:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
513585
n3:idVysledku
RIV/60460709:41110/05:14227
n3:jazykVysledku
n13:eng
n3:klicovaSlova
classification, Bayes classifier, feature, multispectral data, decision rule.
n3:klicoveSlovo
n9:classification n9:decision%20rule. n9:Bayes%20classifier n9:multispectral%20data n9:feature
n3:kontrolniKodProRIV
[51E6E0BFB95A]
n3:mistoKonaniAkce
Štrbské Pleso, High Tatras
n3:mistoVydani
Bratislava
n3:nazevEdiceCisloSvazku
Neuvedeno, 0
n3:nazevZdroje
PROCESS CONTROL 2005
n3:obor
n5:BD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n6:2005
n3:tvurceVysledku
Ocelíková, Eva Klimešová, Dana
n3:typAkce
n16:WRD
n3:zahajeniAkce
2005-06-07+02:00
n3:zamer
n15:MSM6046070904
s:numberOfPages
5
n10:hasPublisher
Slovenská technická univerzita v Bratislave
n8:isbn
80-227-2235-9
n14:organizacniJednotka
41110