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Description
  • Základní myšlenka je že každý model daný Bayesovskou sítí je popsán určitým celočíselným vektorem, nazývaným standardní imset. Každé skore-ekvivalentní rozložitelné kriterium se ukazuje být afinní funkcí standardního imsetu. Algebraický pohled může být rozšířen na databáze: každá databáze může být reprezentována ve formě datového vektoru (vzhledem ke kriteriu) což je vektor stejné dimense jako standardní imset. (cs)
  • Basic idea is that every Bayesian network (BN) model is uniquely described by a certain integral vector, named standard imset. Every score-equivalent decomposable criterion appreas to be an affine function of the standard imset. Albegraic view can be extended to databases: every databases can be represented in form of a data vector (relative to the criterion), which is the vector of same dimension as the standard imset.
  • Basic idea is that every Bayesian network (BN) model is uniquely described by a certain integral vector, named standard imset. Every score-equivalent decomposable criterion appreas to be an affine function of the standard imset. Albegraic view can be extended to databases: every databases can be represented in form of a data vector (relative to the criterion), which is the vector of same dimension as the standard imset. (en)
Title
  • An algeraic approach to structural learning Bayesian networks
  • An algeraic approach to structural learning Bayesian networks (en)
  • Algebraický přístup k strukturálnímu učení Bayesovských sítí (cs)
skos:prefLabel
  • An algeraic approach to structural learning Bayesian networks
  • An algeraic approach to structural learning Bayesian networks (en)
  • Algebraický přístup k strukturálnímu učení Bayesovských sítí (cs)
skos:notation
  • RIV/67985556:_____/06:00040066!RIV07-AV0-67985556
http://linked.open.../vavai/riv/strany
  • 2284;2291
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/04/0393), Z(AV0Z10750506)
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
  • 464751
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/06:00040066
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • learning Bayesian networks; standard imset; data vector (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [76C9ABA3A9E8]
http://linked.open...v/mistoKonaniAkce
  • Paris
http://linked.open...i/riv/mistoVydani
  • Paris
http://linked.open...i/riv/nazevZdroje
  • Information Processing and Management of Uncertainty in Knowledge-Based 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...iv/tvurceVysledku
  • Studený, Milan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Editions EDK
https://schema.org/isbn
  • 2-84254-112-X
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