Using the m-estimate in rule induction
Journal of Computing and Information Technology
Multiple Comparisons in Induction Algorithms
Machine Learning
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Machine Learning
Rule Induction with CN2: Some Recent Improvements
EWSL '91 Proceedings of the European Working Session on Machine Learning
On Estimating Probabilities in Tree Pruning
EWSL '91 Proceedings of the European Working Session on Machine Learning
Law, learning and representation
Artificial Intelligence - Special issue on AI and law
Predicting outcomes of case based legal arguments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Argument based machine learning applied to law
Artificial Intelligence and Law - Argumentation in artificial intelligence and law
Argument based machine learning in a medical domain
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Why is rule learning optimistic and how to correct it
ECML'06 Proceedings of the 17th European conference on Machine Learning
Argumentation in artificial intelligence
Artificial Intelligence
Learning Positional Features for Annotating Chess Games: A Case Study
CG '08 Proceedings of the 6th international conference on Computers and Games
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Learning policies through argumentation-derived evidence
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Towards Argumentation-based Multiagent Induction
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Argument based generalization of MODLEM rule induction algorithm
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Argumentation-based Example Interchange for Multiagent Induction
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Concept convergence in empirical domains
DS'10 Proceedings of the 13th international conference on Discovery science
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Data-driven adaptive selection of rules quality measures for improving the rules induction algorithm
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Argumentation strategies for plan resourcing
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Elicitation of neurological knowledge with ABML
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
A new approach for preference-based argumentation frameworks
Annals of Mathematics and Artificial Intelligence
Deriving concepts and strategies from chess tablebases
ACG'09 Proceedings of the 12th international conference on Advances in Computer Games
Evaluation methods and strategies for the interactive use of classifiers
International Journal of Human-Computer Studies
Empirical argumentation: integrating induction and argumentation in MAS
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
On the benefits of argumentation-derived evidence in learning policies
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
Goal-Oriented conceptualization of procedural knowledge
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
A defeasible reasoning model of inductive concept learning from examples and communication
Artificial Intelligence
Minimal hypotheses: extension-based semantics to argumentation
Annals of Mathematics and Artificial Intelligence
Argumentation strategies for collaborative plan resourcing
ArgMAS'11 Proceedings of the 8th international conference on Argumentation in Multi-Agent Systems
Argumentation strategies for task delegation
EUMAS'11 Proceedings of the 9th European conference on Multi-Agent Systems
ABML knowledge refinement loop: a case study
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
Elicitation of neurological knowledge with argument-based machine learning
Artificial Intelligence in Medicine
Enhancing sentiment extraction from text by means of arguments
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining
Algorithms for decision problems in argument systems under preferred semantics
Artificial Intelligence
Multiagent and Grid Systems
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We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argumentation. The idea is to provide expert's arguments, or reasons, for some of the learning examples. We require that the theory induced from the examples explains the examples in terms of the given reasons. Thus arguments constrain the combinatorial search among possible hypotheses, and also direct the search towards hypotheses that are more comprehensible in the light of expert's background knowledge. In this paper we realize the idea of ABML as rule learning. We implement ABCN2, an argument-based extension of the CN2 rule learning algorithm, conduct experiments and analyze its performance in comparison with the original CN2 algorithm.