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Description
  • We discuss an application of family of Bayesian network models - known as models of independence of casual influence (ICI) - to classification tasks with large numbers of attributes. An example of such a task is categorization of text documents, where attributes are single words from the documents. The key that enabled application of the ICI models is their compact representation using a hidden variable. We address the issue of learning by an computationally efficient implementation of the EM algorithm.
  • We discuss an application of family of Bayesian network models - known as models of independence of casual influence (ICI) - to classification tasks with large numbers of attributes. An example of such a task is categorization of text documents, where attributes are single words from the documents. The key that enabled application of the ICI models is their compact representation using a hidden variable. We address the issue of learning by an computationally efficient implementation of the EM algorithm. (en)
  • V článku popisujeme použití třídy modelů bayesovských sítí - známé jako modely s kauzální nezávislostí - v oblasti klasifikace při velkém množství atributů. Příkladem takovéto úlohy je klasifikace textových dokumentů. Klíčem k úspěšnému použití těchto modelů je jejich kompaktní reprezentace pomocí skryté proměnné. Úlohu učení těchto modelů řešíme efektivní implementací EM-algoritmu. (cs)
Title
  • Noisy-or classifier
  • Klasifikátor založený na funkci OR s šumem (cs)
  • Noisy-or classifier (en)
skos:prefLabel
  • Noisy-or classifier
  • Klasifikátor založený na funkci OR s šumem (cs)
  • Noisy-or classifier (en)
skos:notation
  • RIV/67985556:_____/06:00031425!RIV07-AV0-67985556
http://linked.open.../vavai/riv/strany
  • 381;389
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/04/0393), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika
  • 3
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 488770
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/06:00031425
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • automatic classification; probabilistic models; EM algorithm; noisy-or model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [1BA586D3BA63]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Intelligent Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 21
http://linked.open...iv/tvurceVysledku
  • Vomlel, Jiří
http://linked.open...n/vavai/riv/zamer
issn
  • 0884-8173
number of pages
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