About: Context-Sensitive Refinements for Stochastic Optimisation Algorithms in Inductive Logic Programming

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rdfs:seeAlso	http://www.springerlink.com/content/w450n21140245x78/
Description	We describe a new approach to the application of stochastic search in Inductive Logic Programming (ILP). Contrary to traditional approaches we do not focus directly on evolving logical concepts. Instead, our refinement-based approach uses the stochastic optimization process to iteratively adapt the initial working concept. It 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. We describe a new approach to the application of stochastic search in Inductive Logic Programming (ILP). Contrary to traditional approaches we do not focus directly on evolving logical concepts. Instead, our refinement-based approach uses the stochastic optimization process to iteratively adapt the initial working concept. It 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 Optimisation Algorithms in Inductive Logic Programming Context-Sensitive Refinements for Stochastic Optimisation Algorithms in Inductive Logic Programming (en)
skos:prefLabel	Context-Sensitive Refinements for Stochastic Optimisation Algorithms in Inductive Logic Programming Context-Sensitive Refinements for Stochastic Optimisation Algorithms in Inductive Logic Programming (en)
skos:notation	RIV/68407700:21230/11:00185744!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GAP103/10/1875), Z(MSM6840770012)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Kubalík, Jiří Buryan, Petr
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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	191818
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/11:00185744
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Evolutionary Algorithms; First Order Logic; Inductive Logic Programming; Relational Learning; Stochastic Search (en)
http://linked.open.../riv/klicoveSlovo	Evolutionary Algorithms First Order Logic Inductive Logic Programming Relational Learning Stochastic Search
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[6F1D1CD1A7A4]
http://linked.open...i/riv/nazevZdroje	Artificial Intelligence Review
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...vavai/riv/projekt	Learning from Theories
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	35
http://linked.open...iv/tvurceVysledku	Buryan, Petr Kubalík, Jiří
http://linked.open...ain/vavai/riv/wos	000286054000002
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
issn	0269-2821
number of pages	18 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/s10462-010-9181-y
http://localhost/t...ganizacniJednotka	21230

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