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Publications about 'machine learning'
Books and proceedings
  1. Tom M. Mitchell. Machine Learning. McGraw-Hill, New York, 1997. Keyword(s): machine learning. [bibtex-entry]


  2. Gerhard Weiss, editor. Distributed Artificial Intelligence Meets Machine Learning - Learning in Multi-Agent Environments, volume 1221 of Lecture Notes in Computer Science. Springer, 1997. Keyword(s): multi-agent learning. [bibtex-entry]


Thesis
  1. Winton Davies. ANIMALS A Distributed Heterogeneous Multi-Agent Machine Learning System. PhD thesis, University of Aberdeen, 1993. Keyword(s): machine learning, multi-agent learning, interactive learning, inductive learning, high relevance. [bibtex-entry]


Articles in journal or book chapters
  1. Dimitar Kazakov and Daniel Kudenko. Machine Learning and Inductive Logic Programming for Multi-agent Systems. In M. Luck, V. Marik, and O. Stepankova, editors, Multi-Agent Systems and Applications, volume 2086, pages 246-270. Springer, 2001. Keyword(s): multi-agent system, machine learning, inductive logic programming, high relevance. [bibtex-entry]


  2. Eduardo Alonso, Mark D'Inverno, Daniel Kudenko, Michael Luck, and Jason Noble. Learning in Multi-Agent Systems. Knowledge Engineering Review, 16(3):277-284, 2001. Keyword(s): machine learning, multi-agent system, inductive logic programming, explanation-based reasoning, social learning, high relevance. [bibtex-entry]


  3. Eduardo Alonso and Daniel Kudenko. Machine Learning for Logic-Based Multi-agent Systems. Lecture Notes in Computer Science, 1871, 2001. Keyword(s): multi-agent system, multi-agent learning, explanation-based learning, inductive logic programming. [bibtex-entry]


  4. Ashwin Srinivasan. Extracting Context-Sensitive Models in Inductive Logic Programming. Machine Learning, 44(3):301-324, 2001. Keyword(s): machine learning, inductive logic programming. [bibtex-entry]


  5. Peter Stone and Manuela Veloso. Multiagent Systems: A Survey from a Machine Learning Perspective. Autonomous Robots, 8(3):345-383, 2000. Keyword(s): multi-agent system, machine learning, survey. [bibtex-entry]


  6. Sandip Sen and Gerhard Weiss. Learning in Multiagent Systems. In Gerhard Weiss, editor, Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, pages 259-298. MIT Press, Cambridge, MA, USA, 1999. Keyword(s): multi-agent system, multi-agent learning, machine learning, high relevance. [bibtex-entry]


  7. Gerhard Weiss and Pierre Dillenbourg. What is 'multi' in Multiagent Learning?. In Pierre Dillenbourg, editor, Collaborative learning. Cognitive and computational approaches, pages 64-80. Pergamon Press, 1999. Keyword(s): machine learning, multi-agent system, high relevance. [bibtex-entry]


  8. Raymond J. Mooney and John M. Zelle. Integrating ILP and EBL. SIGART Bulletin, 5(1):12-21, 1994. Keyword(s): inductive logic programming, explanation-based reasoning, machine learning. [bibtex-entry]


  9. Pavel B. Brazdil and Luis Torgo. Knowledge Acquisition via Knowledge Integration. In B. Wielenga et al., editor, Current Trends in AI. IOS Press, 1990. Keyword(s): machine learning, knowledge acquisition, inductive learning. [bibtex-entry]


  10. J. R. Quinlan. Learning Logical Definitions from Relations. Machine Learning, 5(3):239-266, 1990. Keyword(s): machine learning, inductive logic programming. [bibtex-entry]


  11. Nicholas S. Flann and Thomas G. Dietterich. A Study of Explanation-Based Methods for Inductive Learning. Machine Learning, 4(2):187-226, 1989. Keyword(s): explanation-based reasoning, machine learning. [bibtex-entry]


  12. Gerald Dejong and Raymond J. Mooney. Explanation-Based Learning: An Alternative View. Machine Learning, 1(2):145-176, 1986. Keyword(s): machine learning, explanation-based reasoning. [bibtex-entry]


  13. Tom M. Mitchell, Richard M. Keller, and Smadar T. Kedar-Cabelli. Explanation Based Learning A Unifying View. Machine Learning, 1(1):47-80, 1986. Keyword(s): machine learning, explanation-based learning. [bibtex-entry]


Conference articles
  1. Eduardo Alonso and Daniel Kudenko. Machine Learning Techniques for Adaptive Logic-Based Multi-Agent Systems A Preliminary Report. In The Second Workshop of the UK Special Interest Group on Multi-Agetnt Systems, 1999. Keyword(s): multi-agent system, multi-agent learning, explanation-based learning, inductive logic programming. [bibtex-entry]


  2. A. Prodromidis and S. Stolfo. Agent-Based Distributed Learning Applied to Fraud Detection. In Sixteenth National Conference on Artificial Intelligence, 1999. Keyword(s): machine learning, distributed artificial intelligence, multi-agent learning. [bibtex-entry]


  3. Raymond J. Mooney. Integrating Abduction and Induction in Machine Learning. In Working Notes of the IJCAI-97 Workshop on Abduction and Induction in AI, Nagoya, Japan, pages 37-42, 1997. Keyword(s): machine learning, inductive logic programming, inductive reasoning. [bibtex-entry]


  4. Foster John Provost and Daniel N. Hennessy. Scaling Up: Distributed Machine Learning with Cooperation. In Thirteenth National Conference on Artificial Intelligence, 1996. Keyword(s): multi-agent coordination, machine learning. [bibtex-entry]


  5. Michael L. Littman, Anthony R. Cassandra, and Leslie Pack Kaelbling. Learning Policies for Partially Observable Environments: Scaling up. In Armand Prieditis and Stuart Russell, editors, Twelfth International Conference on Machine Learning, pages 362-370, 1995. Morgan Kaufmann. Keyword(s): machine learning. [bibtex-entry]


  6. D. Cho, F. Kusunoki, S. Ono, and T. Terano. Developing a Multi-Agent Model for Distributed Knowledge Systems. In Proceedings of International Conference on Expert Systems for Development, volume 28-31, pages 49-54, 1994. Keyword(s): distributed knowledge system, machine learning. [bibtex-entry]


Internal reports
  1. Ciara Byrne. Democratic Refinement in Multi-Agent World. Technical report, 1994. Keyword(s): distributed artificial intelligence, machine learning, multi-agent learning. [bibtex-entry]



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Last modified: Tue Mar 10 15:56:31 2009
Author: jhua.


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