Hirsh, Haym

30 publications

ICML 2006 Experience-Efficient Learning in Associative Bandit Problems Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh

IJCAI 2003 Integrating Background Knowledge into Text Classification Sarah Zelikovitz, Haym Hirsh

JAIR 2001 Technical Paper Recommendation: A Study in Combining Multiple Information Sources Chumki Basu, Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning

IJCAI 2001 Using Text Classifiers for Numerical Classification Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik

AAAI 2000 A Quantitative Study of Small Disjuncts Gary M. Weiss, Haym Hirsh

ICML 2000 Improving Short-Text Classification Using Unlabeled Data for Classification Problems Sarah Zelikovitz, Haym Hirsh

AAAI 1998 Feature Generation for Sequence Categorization Daniel Kudenko, Haym Hirsh

AAAI 1998 Recommendation as Classification: Using Social and Content-Based Information in Recommendation Chumki Basu, Haym Hirsh, William W. Cohen

ICML 1998 The Problem with Noise and Small Disjuncts Gary M. Weiss, Haym Hirsh

AAAI 1997 Experiments in UNIX Command Prediction Brian D. Davison, Haym Hirsh

AAAI 1997 Representing Sequences in Description Logics Haym Hirsh, Daniel Kudenko

AAAI 1997 Version Spaces Without Boundary Sets Haym Hirsh, Nina Mishra, Leonard Pitt

COLT 1995 Corrigendum for "Learnability of Description Logics" William W. Cohen, Haym Hirsh

AAAI 1994 Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology Haym Hirsh, Nathalie Japkowicz

MLJ 1994 Generalizing Version Spaces Haym Hirsh

ICML 1994 Machine Learning, Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, USA, July 10-13, 1994 William W. Cohen, Haym Hirsh

MLJ 1994 The Learnability of Description Logics with Equality Constraints William W. Cohen, Haym Hirsh

ICML 1993 Learning DNF via Probabilistic Evidence Combination Steven W. Norton, Haym Hirsh

AAAI 1992 Classifier Learning from Noisy Data as Probabilistic Evidence Combination Steven W. Norton, Haym Hirsh

AAAI 1992 Computing Least Common Subsumers in Description Logics William W. Cohen, Alexander Borgida, Haym Hirsh

COLT 1992 Learnability of Description Logics William W. Cohen, Haym Hirsh

AAAI 1992 Polynomial-Time Learning with Version Spaces Haym Hirsh

IJCAI 1991 Theoretical Underpinnings of Version Spaces Haym Hirsh

ICML 1990 Incremental Version-Space Merging Haym Hirsh

ICML 1990 Learning from Data with Bounded Inconsistency Haym Hirsh

ICML 1989 Approximating Learned Search Control Knowledge Melissa P. Chase, Monte Zweben, Richard L. Piazza, John D. Burger, Paul P. Maglio, Haym Hirsh

ICML 1989 Combining Empirical and Analytical Learning with Version Spaces Haym Hirsh

ICML 1989 Incremental Batch Learning Scott H. Clearwater, Tze-Pin Chen, Haym Hirsh, Bruce G. Buchanan

ICML 1988 Reasoning About Operationality for Explanation-Based Learning Haym Hirsh

IJCAI 1987 Explanation-Based Generalization in a Logic-Programming Environment Haym Hirsh