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Note: Links lead to the DBLP on the Web. Haym Hirsh 36 Haym Hirsh, Steve Chien : Proceedings of the Thirteenth Innovative Applications of Artificial Intelligence Conference, August 7-9, 2001, Seattle, Washington, USA. AAAI 2001 35 Sarah Zelikovitz , Haym Hirsh: Using LSI for Text Classification in the Presence of Background Text. CIKM 2001 : 113-118 34 Sofus A. Macskassy , Haym Hirsh, Arunava Banerjee , Aynur A. Dayanik : Using Text Classifiers for Numerical Classification. IJCAI 2001 : 885-890 33 Sofus A. Macskassy , Haym Hirsh, Foster J. Provost , Ramesh Sankaranarayanan , Vasant Dhar : Intelligent Information Triage. SIGIR 2001 : 318-326 32 Gary M. Weiss , Haym Hirsh: A Quantitative Study of Small Disjuncts. AAAI/IAAI 2000 : 665-670 31 Haym Hirsh, Chumki Basu , Brian D. Davison : Enabling technologies: learning to personalize. CACM 43 (8): 102-106 (2000) 30 Marti A. Hearst , Haym Hirsh: AI's Greatest Trends and Controversies. IEEE Intelligent Systems 15 (1): 8-17 (2000) 29 Daniel Kudenko , Haym Hirsh: Feature-Based Learners for Description Logics. Description Logics 1999 28 Chumki Basu , Haym Hirsh, William W. Cohen : Recommendation as Classification: Using Social and Content-Based Information in Recommendation. AAAI/IAAI 1998 : 714-720 27 Daniel Kudenko , Haym Hirsh: Feature Generation for Sequence Categorization. AAAI/IAAI 1998 : 733-738 26 William W. Cohen , Haym Hirsh: Joins that Generalize: Text Classification Using WHIRL. KDD 1998 : 169-173 25 Sofus A. Macskassy , Arunava Banerjee , Brian D. Davison , Haym Hirsh: Human Performance on Clustering Web Pages: A Preliminary Study. KDD 1998 : 264-268 24 Gary M. Weiss , Haym Hirsh: Learning to Predict Rare Events in Event Sequences. KDD 1998 : 359-363 23 Haym Hirsh: Trends & Controversies: Interactive Fiction. IEEE Intelligent Systems 13 (6): 12-21 (1998) 22 Ronen Feldman , Ido Dagan , Haym Hirsh: Mining Text Using Keyword Distributions. JIIS 10 (3): 281-300 (1998) 21 Haym Hirsh, Daniel Kudenko : Representing Sequences in Description Logics. AAAI/IAAI 1997 : 384-389 20 Haym Hirsh, Nina Mishra , Leonard Pitt : Version Spaces without Boundary Sets. AAAI/IAAI 1997 : 491-496 19 Brian D. Davison , Haym Hirsh: Experiments in UNIX Command Prediction. AAAI/IAAI 1997 : 827 18 Haym Hirsh, Brian D. Davidson : An Adaptive UNIX Command-Line Assistant. Agents 1997 : 542-543 17 Ronen Feldman , Haym Hirsh: Exploiting Background Information in Knowledge Discovery from Text. JIIS 9 (1): 83-97 (1997) 16 Ronen Feldman , Haym Hirsh: Mining Associations in Text in the Presence of Background Knowledge. KDD 1996 : 343-346 15 Kwong Bor Ng , David Loewenstern , Chumki Basu , Haym Hirsh, Paul B. Kantor : Data Fusion of Machine-Learning Methods for the TREC5 Routing Task (and other work). TREC 1996 14 William W. Cohen , Haym Hirsh: Corrigendum for ``Learnability of Description Logics''. COLT 1995 : 463 13 Haym Hirsh, Nathalie Japkowicz : Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology. AAAI 1994 : 639-644 12 William W. Cohen , Haym Hirsh: Learning the Classic Description Logic: Theoretical and Experimental Results. KR 1994 : 121-133 11 Haym Hirsh: Generalizing Version Spaces. Machine Learning 17 (1): 5-46 (1994) 10 William W. Cohen , Haym Hirsh: The Learnability of Description Logics with Equality Constraints. Machine Learning 17 (2-3): 169-199 (1994) 9 Steven W. Norton , Haym Hirsh: Learning DNF Via Probabilistic Evidence Combination. ICML 1993 : 220-227 8 Haym Hirsh: Polynomial-Time Learning with Version Spaces. AAAI 1992 : 117-122 7 Steven W. Norton , Haym Hirsh: Classifier Learning from Noisy Data as Probabilistic Evidence Combination. AAAI 1992 : 141-146 6 William W. Cohen , Alexander Borgida , Haym Hirsh: Computing Least Common Subsumers in Description Logics. AAAI 1992 : 754-760 5 William W. Cohen , Haym Hirsh: Learnability of Description Logics. COLT 1992 : 116-127 4 Haym Hirsh: Theoretical Underpinnings of Version Spaces. IJCAI 1991 : 665-670 3 Haym Hirsh: Learning from Data with Bounded Inconsistency. ML 1990 : 32-39 2 Haym Hirsh: Reasoning about Operationality for Explanation-Based Learning. ML 1988 : 214-220 1 Haym Hirsh: Explanation-based Generalization in a Logic- Programming Environment. IJCAI 1987 : 221-227  DiSC'02 © 2003 Association for Computing Machinery |
