Haym Hirsh's Publications:
Explanation-Based Learning

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

• Haym Hirsh (1994).
  Generalizing Version Spaces.
  Machine Learning, 17(1):5-45.
• Paul S. Rosenbloom, Haym Hirsh, William W. Cohen, and Benjamin D. Smith (1993).
  Two Frameworks for Integrating Knowledge in Induction.
  Proceedings of the Seventh Annual Workshop on Space Operations, Applications and Research, pages 226-233.
  NASA Conference Publication 3240.
• Haym Hirsh (1990).
  Incremental Version-Space Merging: A General Framework for Concept Learning.
  Foreword by Tom M. Mitchell.
  Kluwer Academic Publishers.
• Derek Sleeman, Haym Hirsh, Ian Ellery, and In-Yung Kim (1990).
  Extending Domain Theories: Two Case Studies in Student Modeling.
  Machine Learning, 5(1):11-37.
• Haym Hirsh (1990).
  Incremental Version-Space Merging.
  Proceedings of the Seventh International Conference on Machine Learning (ICML90), pages 330-338.
  Morgan Kaufmann Publishers.
• Haym Hirsh (1990).
  Conditional Operationality and Explanation-Based Generalization.
  In R. Michalski and Y. Kodratoff, editors, Machine Learning: An Artificial Intelligence Approach, Volume III, pages 383-395.
  Morgan Kaufmann Publishers.
• Haym Hirsh (1990).
  Knowledge As Bias.
  In D.P. Benjamin, editor, Change of Representation and Inductive Bias, pages 209-221.
  Kluwer Academic Publishers.
• Haym Hirsh (1990).
  Overgenerality in Explanation-Based Generalization.
  In P. Brazdil and K. Konolige, editors, Machine Learning, Meta-Reasoning, and Logics, pages 121-134.
  Kluwer Academic Publishers.
• Haym Hirsh (1989).
  Incremental Version Space Merging: A General Framework for Concept Learning.
  Stanford University Computer Science Department Technical Report (Ph.D. Dissertation).
• Haym Hirsh (1989).
  Combining Empirical and Analytical Learning with Version Spaces.
  Proceedings of the Sixth International Machine Learning Workshop, pages 29-33.
  Morgan Kaufmann Publishers.
• Mellisa P. Chase, Monte Zweben, Richard L. Piazza, John D. Burger, Paul P. Maglio, and Haym Hirsh (1989).
  Approximating Learned Search Control Knowledge.
  Proceedings of the Sixth International Machine Learning Workshop, pages 218-220.
  Morgan Kaufmann Publishers.
• Haym Hirsh (1988).
  Reasoning about Operationality for Explanation-Based Learning.
  Proceedings of the Fifth International Conference on Machine Learning (ICML88), pages 214-220.
  Morgan Kaufmann Publishers.
• Haym Hirsh (1988).
  Empirical Techniques for Repairing Imperfect Theories.
  Working Notes of the AAAI Spring Symposium on Explanation-Based Learning, pages 57-61.
• Haym Hirsh (1987).
  Explanation-Based Generalization in a Logic-Programming Environment.
  Proceedings of the Tenth International Joint Conference on Artificial Intelligence (IJCAI87), pages 221-227.
  Morgan Kaufmann Publishers.
• Haym Hirsh and Derek Sleeman (1986).
  Inference of Incorrect Operators.
  In T. Mitchell, J. Carbonell, and R. Michalski, editors, Machine Learning: A Guide to Current Research, pages 91-97.
  Kluwer Academic Publishers.