Argument based rule learning

Frontiers in Artificial Intelligence and Applications

Volumn 141, Issue , 2006, Pages 504-508

  Možina, Martin ^a   Žabkar, Jure ^a   Bratko, Ivan ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER CIRCUITS; MACHINE LEARNING;

BACKGROUND KNOWLEDGE; COMBINATORIAL SEARCH; MACHINE LEARNING FROM EXAMPLES; MACHINE-LEARNING; RULE LEARNING; RULE LEARNING ALGORITHMS;

LEARNING ALGORITHMS;

EID: 84886072029     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Article

References (10)

1. Ivan Bratko and Martin Možina, 'Argumentation and machine learning'. In: Deliverable 2.1 for the ASPIC project, 2004.
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6. Martin Možina, Jure Žabkar, Trevor Bench-Capon, and Ivan Bratko, 'Argument based machine learning applied to law', in Argumentation in Artificial Intelligence and Law, Workshop at Tenth International Conference on Artificial Intelligence and Law (ICAIL 2005), pp. 87-94, Bologna, (2005). Wolf Legal Publishers.
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9. M. J. Pazzani, 'Influence of prior knowledge on concept acquisition: Experimental and computational results.', Journal of Experimental Psychology: Learning, Memory and Cognition, 17, 416-432, (1991).
10. Henry Prakken and Gerard Vreeswijk, Handbook of Philosophical Logic, second edition, volume 4, chapter Logics for Defeasible Argumentation, 218-319, Kluwer Academic Publishers, Dordrecht etc, 2002.