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  • Inductive logic programming is a machine learning method that combines inductive learning with the representation of hypotheses as logic programs. There exist methods that given a template find unification of variables in the template to obtain a hypothesis that subsumes all positive examples and does not subsume any negative example. In this paper we deal with the problem how to obtain the template. In particular, we suggest a method how to efficiently generate the template by remembering the history of generated templates and exploiting this history when adding predicates to a new candidate template. This method significantly outperforms the existing method based on brute-force incremental extension of the template. We demonstrate the efficiency experimentally using randomly generated structured problems.
  • Inductive logic programming is a machine learning method that combines inductive learning with the representation of hypotheses as logic programs. There exist methods that given a template find unification of variables in the template to obtain a hypothesis that subsumes all positive examples and does not subsume any negative example. In this paper we deal with the problem how to obtain the template. In particular, we suggest a method how to efficiently generate the template by remembering the history of generated templates and exploiting this history when adding predicates to a new candidate template. This method significantly outperforms the existing method based on brute-force incremental extension of the template. We demonstrate the efficiency experimentally using randomly generated structured problems. (en)
Title
  • HISTORY-DRIVEN TEMPLATE GENERATION IN INDUCTIVE LOGIC PROGRAMMING
  • HISTORY-DRIVEN TEMPLATE GENERATION IN INDUCTIVE LOGIC PROGRAMMING (en)
skos:prefLabel
  • HISTORY-DRIVEN TEMPLATE GENERATION IN INDUCTIVE LOGIC PROGRAMMING
  • HISTORY-DRIVEN TEMPLATE GENERATION IN INDUCTIVE LOGIC PROGRAMMING (en)
skos:notation
  • RIV/00216208:11320/12:10129774!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GBP202/12/G061)
http://linked.open...iv/cisloPeriodika
  • 2
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
  • 139197
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/12:10129774
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Constraint Satisfaction; Template Generation; Inductive Logic Programming (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • AZ - Ázerbájdžánská republika
http://linked.open...ontrolniKodProRIV
  • [0E45225D2FA5]
http://linked.open...i/riv/nazevZdroje
  • Applied and Computational Mathematics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 11
http://linked.open...iv/tvurceVysledku
  • Barták, Roman
  • Chovanec, Andrej
http://linked.open...ain/vavai/riv/wos
  • 000306149600005
issn
  • 1683-3511
number of pages
http://localhost/t...ganizacniJednotka
  • 11320
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