About: Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms.     Goto   Sponge   NotDistinct   Permalink

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Description
  • We introduce a novel algorithm for optimal feature selection. As opposed to our recent Fast Branch & Bound (FBB) algorithm the new algorithm is well suitable for use with recursive criterion forms. Even if the new algorithm does not operate as effectively as the FBB algorithm, it is able to find the optimum significantly faster than any other Branch & Bound.
  • We introduce a novel algorithm for optimal feature selection. As opposed to our recent Fast Branch & Bound (FBB) algorithm the new algorithm is well suitable for use with recursive criterion forms. Even if the new algorithm does not operate as effectively as the FBB algorithm, it is able to find the optimum significantly faster than any other Branch & Bound. (en)
Title
  • Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms.
  • Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms. (en)
skos:prefLabel
  • Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms.
  • Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms. (en)
skos:notation
  • RIV/67985556:_____/01:16010229!RIV/2003/AV0/A16003/N
http://linked.open.../vavai/riv/strany
  • 425;434
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(KSK1075601), P(ME 187), P(VS96063), Z(AV0Z1075907)
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
  • 674674
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/01:16010229
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • branch and bound; search tree; optimal subset selection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B253DD5427C0]
http://linked.open...v/mistoKonaniAkce
  • Rio de Janeiro [BR]
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Advances in Pattern Recognition - ICAPR 2001. Proceedings.
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Grim, Jiří
  • Pudil, Pavel
  • Somol, Petr
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
  • Springer-Verlag
https://schema.org/isbn
  • 3-540-41767-2
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