Argument based machine learning

DOI10.1016/j.artint.2007.04.007zbMath1168.68481OpenAlexW1965944404MaRDI QIDQ1028963

Jure Žabkar, Martin Možina, Ivan Bratko

Publication date: 9 July 2009

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=24719

zbMATH Keywords

machine learningbackground knowledgeargumentationknowledge intensive learninglearning through arguments

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Logic in artificial intelligence (68T27)

Related Items

Ultra-strong machine learning: comprehensibility of programs learned with ILP ⋮ Argumentation based reinforcement learning for meta-knowledge extraction ⋮ A defeasible reasoning model of inductive concept learning from examples and communication ⋮ Logical limits of abstract argumentation frameworks ⋮ Minimal hypotheses: extension-based semantics to argumentation ⋮ A general approach to extension-based semantics in abstract argumentation ⋮ A neural cognitive model of argumentation with application to legal inference and decision making ⋮ Arguing and Explaining Classifications ⋮ Algorithms for decision problems in argument systems under preferred semantics ⋮ Uses and computation of imprecise probabilities from statistical data and expert arguments ⋮ Argumentation in artificial intelligence ⋮ Argument based machine learning ⋮ A new approach for preference-based argumentation frameworks ⋮ On searching explanatory argumentation graphs ⋮ Graded labellings for abstract argumentation

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Law, learning and representation
• Argument based machine learning
• Multiple comparisons in induction algorithms