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Publications Related to: Active Learning

By Shaul Markovitch

  1. Nela Gurevich, Shaul Markovitch and Ehud Rivlin. Active Learning with Near Misses. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, 362-367 Boston, MA, 2006.[abstract][pdf]
  2. Michael Lindenbaum, Shaul Markovitch and Dmitry Rusakov. Selective Sampling for Nearest Neighbor Classifiers. Machine Learning, 54:125-152 2004.[abstract][pdf]
  3. Michael Lindenbaum, Shaul Markovitch and Dmitry Rusakov. Selective Sampling for Nearest Neighbor Classifiers. In The Proceedings of the Sixteenth National Confernce on Artificial Intelligence, 366-371 Orlando, Florida, 1999.[abstract][pdf]
  4. David Carmel and Shaul Markovitch. Exploration Strategies for Model-based Learning in Multiagent Systems. Autonomous Agents and Multi-agent Systems, 2:141-172 1999.[abstract][pdf]
  5. Lev Finkelstein and Shaul Markovitch. A Selective Macro-learning Algorithm and its Application to the NxN Sliding-Tile Puzzle. Journal of Artificial Intelligence Research, 8:223-263 1998.[abstract][pdf]
  6. David Carmel and Shaul Markovitch. How to explore your opponent's strategy (almost) optimally. In Proceedings of the Third International Conference on Multi-Agent Systems, 64-71 Paris, France, 1998.[abstract][pdf]
  7. David Carmel and Shaul Markovitch. Exploration and Adaptation in Multiagent Systems: A Model-Based Approach. In Proceedings of The Fifteenth International Joint Conference for Artificial Intelligence, 606-611 Nagoya, Japan, 1997.[abstract][pdf]
  8. Paul Scott and Shaul Markovitch. Experience Selection and Problem Choice in an Exploratory Learning System. Machine Learning, 12:49-67 1993.[abstract][pdf]
  9. Paul Scott and Shaul Markovitch. Representation Generation in An Exploratory Learning System. In D. Fisher and M. Pazzani, Editors, Concept Formation: Knowledge and Experience in Unsupervised Learning. Morgan Kaufmann, 1991.[abstract][pdf]
  10. Reuven Hasson, Shaul Markovitch and Yaron Sella. Using Filters to Improve Efficiency of Game-playing Learning Procedures. In Proceedings of Eleventh International Conference of the Chilean Computer Science Society, 125-137 Santiago, Chile, 1991.[abstract][pdf]
  11. Shaul Markovitch and Paul Scott. Information Filters and Their Implementation in the {SYLLOG} System. In Proceedings of The Sixth International Workshop on Machine Learning, 404-407 Ithaca, New York, 1989.Morgan Kaufmann[abstract][pdf]
  12. Shaul Markovitch. Information Filtering: Selection Mechanisms in Learning Systems. PhD Thesis, EECS Department, University of Michigan, 1989.[abstract][pdf]
  13. Paul Scott and Shaul Markovitch. Uncertainty Based Selection of Learning Experiences. In Proceedings of The Sixth International Workshop on Machine Learning, 358-361 Ithaca, New York, 1989.Morgan Kaufmann[abstract][pdf]
  14. Paul Scott and Shaul Markovitch. Learning Novel Domains Through Curiosity and Conjecture. In Proceedings of International Joint Conference for Artificial Intelligence, 669-674 Detroit, Michigan, 1989.[abstract][pdf]