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Publications Related to: Utility Problem

By Shaul Markovitch

  1. Oleg Ledeniov and Shaul Markovitch. Learning Investment Functions for Controlling the Utility of Control Knowledge. In Proceedings of the Fifteenth National Conference on Artificial Intelligence, 463-468 Madison, Wisconsin, 1998.[abstract][pdf]
  2. Oleg Ledeniov and Shaul Markovitch. Controlled Utilization of Control Knowledge for Speeding up Logic Inference. Technical Report CIS9812, Technion, 1998.[abstract][pdf]
  3. Shaul Markovitch and Paul Scott. Information Filtering: Selection Mechanisms in Learning Systems. Machine Learning, 10:113-151 1993.[abstract][pdf]
  4. Shaul Markovitch and Irit Rosdeutscher. Systematic Experimentation with Deductive Learning: Satisficing vs. Optimizing Search. In Proceedings of the Knowledge Compilation and Speedup Learning Workshop, Aberdeen, Scotland, 1992.[abstract][pdf]
  5. 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]
  6. Paul Scott and Shaul Markovitch. Knowledge Considered Harmful. In Proceedings of IEEE Colloquium on Knowledge Engineering, London, 1990.[abstract][pdf]
  7. Shaul Markovitch and Paul Scott. Utilization Filtering: a Method for Reducing the Inherent Harmfulness of Deductively Learned Knowledge. In Proceedings of The Eleventh International Joint Conference for Artificial Intelligence, 738-743 Detroit, Michigan, 1989.[abstract][pdf]
  8. 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]
  9. Shaul Markovitch. Information Filtering: Selection Mechanisms in Learning Systems. PhD Thesis, EECS Department, University of Michigan, 1989.[abstract][pdf]
  10. Shaul Markovitch and Paul Scott. The Role of Forgetting in Learning. In Proceedings of The Fifth International Conference on Machine Learning, 459-465 Ann Arbor, MI, 1988.Morgan Kaufmann[abstract][pdf]
  11. Shaul Markovitch and Paul Scott. Knowledge Considered Harmful. Technical Report 030788, The Center for Machine Intelligence, Ann Arbor, MI, 1988.[abstract][pdf]