Article

Learning nonrecursive definitions of relations with LINUS

Authors:

Nada Lavrač,

Sašo Džeroski,

Marko GrobelnikAuthors Info & Claims

EWSL-91: Proceedings of the European working session on learning on Machine learning

Pages 265 - 281

Published: 01 March 1991 Publication History

Abstract

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Zimmerman TKambhampati S(2003)Learning-assisted automated planningAI Magazine10.5555/960150.96016024:2(73-96)Online publication date: 1-Jun-2003
https://dl.acm.org/doi/10.5555/960150.960160
Berthold MHand D(2003)ReferencesIntelligent data analysis10.5555/938152.938175(475-500)Online publication date: 1-Jan-2003
https://dl.acm.org/doi/10.5555/938152.938175
Fern ASiskind JGivan R(2002)Learning temporal, relational, force-dynamic event definitions from videoEighteenth national conference on Artificial intelligence10.5555/777092.777120(159-166)Online publication date: 28-Jul-2002
https://dl.acm.org/doi/10.5555/777092.777120
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Index Terms

Learning nonrecursive definitions of relations with LINUS
1. Computing methodologies
  1. Artificial intelligence
    1. Planning and scheduling
  2. Machine learning
    1. Learning settings
    2. Machine learning approaches
      1. Logical and relational learning
        Inductive logic learning

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Learning nonrecursive definitions of relations with linus
EWSL'91: Proceedings of the 5th European Conference on European Working Session on Learning

Many successful inductive learning systems use a propositional attribute-value language to represent both training examples and induced hypotheses. Recent developments are concerned with systems that induce concept descriptions in first-order logic. The ...
Learning Nonrecursive Definitions of Relations with LINUS
EWSL '91: Proceedings of the European Working Session on Machine Learning
Learning Logical Definitions from Relations

This paper describes FOIL, a system that learns Horn clauses from data expressed as relations. FOIL is based on ideas that have proved effective in attribute-value learning systems, but extends them to a first-order formalism. This new system has been ...

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Published In

EWSL-91: Proceedings of the European working session on learning on Machine learning

March 1991

537 pages

ISBN:038753816X

Editor:
Yves Kodratoff
CNRS and Univ. Paris Sud, Orsay, France

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 March 1991

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Zimmerman TKambhampati S(2003)Learning-assisted automated planningAI Magazine10.5555/960150.96016024:2(73-96)Online publication date: 1-Jun-2003
https://dl.acm.org/doi/10.5555/960150.960160
Berthold MHand D(2003)ReferencesIntelligent data analysis10.5555/938152.938175(475-500)Online publication date: 1-Jan-2003
https://dl.acm.org/doi/10.5555/938152.938175
Fern ASiskind JGivan R(2002)Learning temporal, relational, force-dynamic event definitions from videoEighteenth national conference on Artificial intelligence10.5555/777092.777120(159-166)Online publication date: 28-Jul-2002
https://dl.acm.org/doi/10.5555/777092.777120
Fern AGivan RSiskind J(2002)Specific-to-general learning for temporal eventsEighteenth national conference on Artificial intelligence10.5555/777092.777119(152-158)Online publication date: 28-Jul-2002
https://dl.acm.org/doi/10.5555/777092.777119
Lachiche NFlach P(2002)1BC2Proceedings of the 12th international conference on Inductive logic programming10.5555/1765335.1765345(133-148)Online publication date: 9-Jul-2002
https://dl.acm.org/doi/10.5555/1765335.1765345
Kramer SLavrač NFlach P(2001)Propositionalization approaches to relational data miningRelational Data Mining10.5555/567222.567236(262-286)Online publication date: 5-Oct-2001
https://dl.acm.org/doi/10.5555/567222.567236
Armengol EPlaza E(2000)Bottom-Up Induction of Feature TermsMachine Language10.1023/A:100767771396941:3(259-294)Online publication date: 1-Dec-2000
https://dl.acm.org/doi/10.1023/A%3A1007677713969
Lavrač NDe Raedt L(1995)Inductive Logic ProgrammingAI Communications10.5555/2637330.26373318:1(3-19)Online publication date: 1-Jan-1995
https://dl.acm.org/doi/10.5555/2637330.2637331
Zucker JCorruble VThomas JRamalho G(1994)DICEProceedings of the 3rd International Conference on Knowledge Discovery and Data Mining10.5555/3000850.3000878(275-286)Online publication date: 31-Jul-1994
https://dl.acm.org/doi/10.5555/3000850.3000878
Kietz JDžeroski S(1994)Inductive logic programming and learnabilityACM SIGART Bulletin10.1145/181668.1816745:1(22-32)Online publication date: 1-Jan-1994
https://dl.acm.org/doi/10.1145/181668.181674
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Learning nonrecursive definitions of relations with linus

Learning Nonrecursive Definitions of Relations with LINUS

Learning Logical Definitions from Relations

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