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Publications Related to: Resource-Bounded Reasoning

By Shaul Markovitch

  1. Saher Esmeir and Shaul Markovitch. When a Decision Tree Learner Has Plenty of Time. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, 1597-1600 Boston, MA, 2006.[abstract][pdf]
  2. Saher Esmeir and Shaul Markovitch. Anytime Induction of Decision Trees: an Iterative Improvement Approach. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, 348-355 Boston, MA, 2006.[abstract][pdf]
  3. Saher Esmeir and Shaul Markovitch. Interruptible Anytime Algorithms for Iterative Improvement of Decision Trees. In Proceedings of the 1st international workshop on Utility-based data mining, 78-85 Chicago, Illinois, 2005.[abstract][pdf]
  4. Yaniv Hamo and Shaul Markovitch. The Compset Algorithm for Subset Selection. In Proceedings of The Nineteenth International Joint Conference for Artificial Intelligence, 728-733 Edinburgh, Scotland, 2005.[abstract][pdf]
  5. Saher Esmeir and Shaul Markovitch. Lookahead-based Algorithms for Anytime Induction of Decision Trees. In Proceedings of The Twenty-First International Conference on Machine Learning, 257-264 Banff, Alberta, Canada, 2004.Morgan Kaufmann[abstract][pdf]
  6. Lev Finkelstein, Shaul Markovitch and Ehud Rivlin. Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Shared Resources. Journal of Artificial Intelligence Research, 19:73-138 2003.[abstract][pdf]
  7. Lev Finkelstein, Shaul Markovitch and Ehud Rivlin. Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Independent Processes. In Proceedings of the Eighteenth National Conference on Artificial Intelligence, 719-724 Edmonton, Alberta, Canada, 2002.[abstract][pdf]
  8. Dmitry Davidov and Shaul Markovitch. Multiple-goal Search Algorithms and their Application to Web Crawling. In Proceedings of the Eighteenth National Conference on Artificial Intelligence, 713-718 Edmonton, Alberta, Canada, 2002.[abstract][pdf]
  9. Lev Finkelstein, Shaul Markovitch and Ehud Rivlin. Optimal Schedules for Parallelizing Anytime Algorithms. In Proceedings of The AAAI Fall Symposium on Using Uncertainty within Computation, 49-56 North Carolina, 2001.[abstract][pdf]
  10. Lev Finkelstein and Shaul Markovitch. Optimal schedules for monitoring anytime algorithms. Artificial Intelligence, 126:63-108 2001.[abstract][pdf]
  11. 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]
  12. Oleg Ledeniov and Shaul Markovitch. Controlled Utilization of Control Knowledge for Speeding up Logic Inference. Technical Report CIS9812, Technion, 1998.[abstract][pdf]
  13. Shaul Markovitch and Yaron Sella. Learning of Resource Allocation Strategies for Game Playing. Computational Intelligence, 12:88-105 1996.[abstract][pdf]
  14. Shaul Markovitch and Yaron Sella. Learning of Resource Allocation Strategies for game Playing. In Proceedings of The Thirteenth International Joint Conference for Artificial Intelligence, 974-979 Chambery, France, 1993.[abstract][pdf]