Overview of ILP Systems

dc.contributor.author	Boytcheva, Svetla
dc.date.accessioned	2008-01-18T15:06:42Z
dc.date.available	2008-01-18T15:06:42Z
dc.date.issued	2002
dc.identifier.citation	14. Boytcheva S., Overview of ILP Systems, 2002, Journal of Cybernetics and Information Technologies, Vol. 1, 2002	bg_BG
dc.identifier.uri	http://hdl.handle.net/10506/53
dc.description.abstract	The current paper presents a brief overview of Inductive logic programming (ILP) systems. ILP algorithms are of special interest for machine learning, because most of them offer practical methods for extending the presentations used in algorithms that solve supervised learning tasks. The paper presents major approaches for solving supervised learning task, summarizes their features and classifies systems according different dimensions	bg_BG
dc.language.iso	en	bg_BG
dc.publisher	Journal of Cybernetics and Information Technologies	bg_BG
dc.subject	Inductive logic programming	bg_BG
dc.subject	Supervised Learning	bg_BG
dc.title	Overview of ILP Systems	bg_BG
dc.type	Article	bg_BG