Haym Hirsh's Publications:
Miscellaneous Foundations

Some papers can be viewed by clicking on their titles.
(A few more still need to be put on-line.)

• Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, and Haym Hirsh (2006)
  Experience-Efficient Learning in Associative Bandit Problems.
  Proceedings of the 23rd International Conference on Machine Learning (ICML 2006).
• Leon Shklar and Haym Hirsh (1997).
  Imposing Bounds on the Number of Categories for Incremental Concept Formation.
  In R. Greiner, T. Petsche, and S.J. Hanson, editors, Computational Learning Theory and Natural Learning Systems, Volume IV, pages 36-49.
  MIT Press.
• Haym Hirsh (1996).
  Boundaries of Tractability for Artificial Intelligence.
  Introduction to Special Issue, Annals of Mathematics and Artificial Intelligence.
• James Crawford and Haym Hirsh (1993).
  AAAI 1993 Spring Symposium Report: AI and NP-Hard Problems.
  AI Magazine, 14(4):32-34. Working Notes of the AAAI Spring Symposium on Artificial Intelligence and NP-Hard Problems.
  AAAI Press.
• Scott H. Clearwater, Tze-Pin Cheng, Haym Hirsh, and Bruce G. Buchanan (1989).
  Incremental Batch Learning.
  Proceedings of the Sixth International Machine Learning Workshop, pages 366-370.
  Morgan Kaufmann Publishers.