Inductive Logic Programming

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F03%3A03092603" target="_blank" >RIV/68407700:21230/03:03092603 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

čeština

Original language name

Induktivní logické programování

Original language description

Inductive logic programming (ILP) is a branch of machine learning which aims at development of theory, methods and applications of learning in first-order logic. Given positive and negative examples, and domain knowledge in the form of normal logic program, ILP system looks for a logic formula that covers maximum of positive examples and minimum of negative ones. ILP is more powerful than other learning methods. We introduce the basic theory of ILP, current ILP systems as well as successful applications.

Czech name

Induktivní logické programování

Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

DATAKON 2003

ISBN

80-210-3215-4

ISSN

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e-ISSN

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Number of pages

19

Pages from-to

111-129

Publisher name

Masarykova univerzita

Place of publication

Brno

Event location

Brno

Event date

Oct 18, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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