About: Context-sensitive Refinements for Stochastic Optimization Algorithms in Inductive Logic Programming

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this paper we describe a new approach to the application of evolutionary stochastic search in Inductive Logic Programming (ILP). Unlike traditional approaches that focus on evolving populations of logical clauses, our refinement-based approach uses the stochastic optimization process to iteratively adapt initial working clause. Utilization of context-sensitive concept refinements (adaptations) helps the search operations to produce mostly syntactically correct concepts and enables using available background knowledge both for efficiently restricting the search space and for directing the search. Thereby, the search is more flexible, less problem-specific and the framework can be easily used with any stochastic search algorithm within ILP domain. Experimental results on several data sets verify the usefulness of this approach. In this paper we describe a new approach to the application of evolutionary stochastic search in Inductive Logic Programming (ILP). Unlike traditional approaches that focus on evolving populations of logical clauses, our refinement-based approach uses the stochastic optimization process to iteratively adapt initial working clause. Utilization of context-sensitive concept refinements (adaptations) helps the search operations to produce mostly syntactically correct concepts and enables using available background knowledge both for efficiently restricting the search space and for directing the search. Thereby, the search is more flexible, less problem-specific and the framework can be easily used with any stochastic search algorithm within ILP domain. Experimental results on several data sets verify the usefulness of this approach. (en)
Title	Context-sensitive Refinements for Stochastic Optimization Algorithms in Inductive Logic Programming Context-sensitive Refinements for Stochastic Optimization Algorithms in Inductive Logic Programming (en)
skos:prefLabel	Context-sensitive Refinements for Stochastic Optimization Algorithms in Inductive Logic Programming Context-sensitive Refinements for Stochastic Optimization Algorithms in Inductive Logic Programming (en)
skos:notation	RIV/68407700:21230/10:00171012!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Kubalík, Jiří Buryan, Petr
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	251971
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/10:00171012
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	optimization; evolutionary algorithms; inductive logic programming (en)
http://linked.open.../riv/klicoveSlovo	evolutionary algorithms optimization inductive logic programming
http://linked.open...ontrolniKodProRIV	[1E86DA759E02]
http://linked.open...v/mistoKonaniAkce	Portland, Oregon
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	Proceedings of the 12th annual conference comp on Genetic and evolutionary computation
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Buryan, Petr Kubalík, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-07-07 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
number of pages	2 (xsd:int)
http://purl.org/ne...btex#hasPublisher	ACM
https://schema.org/isbn	978-1-4503-0073-5
http://localhost/t...ganizacniJednotka	21230

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