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Haym Hirsh: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. William W. Cohen, Alexander Borgida, Haym Hirsh
    Computing Least Common Subsumers in Description Logics. [Citation Graph (1, 0)][DBLP]
    AAAI, 1992, pp:754-760 [Conf]
  2. Ronen Feldman, Haym Hirsh
    Mining Associations in Text in the Presence of Background Knowledge. [Citation Graph (1, 0)][DBLP]
    KDD, 1996, pp:343-346 [Conf]
  3. Haym Hirsh, Chumki Basu, Brian D. Davison
    Enabling technologies: learning to personalize. [Citation Graph (1, 0)][DBLP]
    Commun. ACM, 2000, v:43, n:8, pp:102-106 [Journal]
  4. Ronen Feldman, Ido Dagan, Haym Hirsh
    Mining Text Using Keyword Distributions. [Citation Graph (1, 0)][DBLP]
    J. Intell. Inf. Syst., 1998, v:10, n:3, pp:281-300 [Journal]
  5. Chumki Basu, Haym Hirsh, William W. Cohen
    Recommendation as Classification: Using Social and Content-Based Information in Recommendation. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:714-720 [Conf]
  6. Brian D. Davison, Haym Hirsh
    Experiments in UNIX Command Prediction. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:827- [Conf]
  7. Haym Hirsh
    Polynomial-Time Learning with Version Spaces. [Citation Graph (0, 0)][DBLP]
    AAAI, 1992, pp:117-122 [Conf]
  8. Haym Hirsh, Nathalie Japkowicz
    Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:639-644 [Conf]
  9. Haym Hirsh, Daniel Kudenko
    Representing Sequences in Description Logics. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:384-389 [Conf]
  10. Haym Hirsh, Nina Mishra, Leonard Pitt
    Version Spaces without Boundary Sets. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:491-496 [Conf]
  11. Daniel Kudenko, Haym Hirsh
    Feature Generation for Sequence Categorization. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:733-738 [Conf]
  12. Steven W. Norton, Haym Hirsh
    Classifier Learning from Noisy Data as Probabilistic Evidence Combination. [Citation Graph (0, 0)][DBLP]
    AAAI, 1992, pp:141-146 [Conf]
  13. Gary M. Weiss, Haym Hirsh
    A Quantitative Study of Small Disjuncts. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:665-670 [Conf]
  14. Haym Hirsh, Brian D. Davison
    An Adaptive UNIX Command-Line Assistant. [Citation Graph (0, 0)][DBLP]
    Agents, 1997, pp:542-543 [Conf]
  15. Sofus A. Macskassy, Haym Hirsh
    Adding numbers to text classification. [Citation Graph (0, 0)][DBLP]
    CIKM, 2003, pp:240-246 [Conf]
  16. Sarah Zelikovitz, Haym Hirsh
    Using LSI for Text Classification in the Presence of Background Text. [Citation Graph (0, 0)][DBLP]
    CIKM, 2001, pp:113-118 [Conf]
  17. William W. Cohen, Haym Hirsh
    Learnability of Description Logics. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:116-127 [Conf]
  18. William W. Cohen, Haym Hirsh
    Corrigendum for ``Learnability of Description Logics''. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:463- [Conf]
  19. Alexander Borgida, Thomas Walsh, Haym Hirsh
    Towards Measuring Similarity in Description Logics. [Citation Graph (0, 0)][DBLP]
    Description Logics, 2005, pp:- [Conf]
  20. Daniel Kudenko, Haym Hirsh
    Representing Sequences in Description Logics Using Suffix Trees. [Citation Graph (0, 0)][DBLP]
    Description Logics, 1996, pp:141-145 [Conf]
  21. Daniel Kudenko, Haym Hirsh
    Feature-Based Learners for Description Logics. [Citation Graph (0, 0)][DBLP]
    Description Logics, 1999, pp:- [Conf]
  22. Sarah Zelikovitz, Haym Hirsh
    Integrating Background Knowledge into Nearest-Neighbor Text Classification. [Citation Graph (0, 0)][DBLP]
    ECCBR, 2002, pp:1-5 [Conf]
  23. Sarah Zelikovitz, Haym Hirsh
    Improving Text Classification Using EM with Background Text. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2005, pp:499-505 [Conf]
  24. Khaled Rasheed, Haym Hirsh
    Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:628-635 [Conf]
  25. Brian D. Davison, Haym Hirsh
    Toward an Adaptive Command Line Interface. [Citation Graph (0, 0)][DBLP]
    HCI (2), 1997, pp:505-508 [Conf]
  26. Khaled Rasheed, Haym Hirsh
    Using Case Based Learning to Improve Genetic Algorithm Based Design Optimization. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:513-520 [Conf]
  27. Melissa P. Chase, Monte Zweben, Richard L. Piazza, John D. Burger, Paul P. Maglio, Haym Hirsh
    Approximating Learned Search Control Knowledge. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:218-220 [Conf]
  28. Scott H. Clearwater, Tze-Pin Chen, Haym Hirsh, Bruce G. Buchanan
    Incremental Batch Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:366-370 [Conf]
  29. Haym Hirsh
    Reasoning about Operationality for Explanation-Based Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1988, pp:214-220 [Conf]
  30. Haym Hirsh
    Combining Empirical and Analytical Learning with Version Spaces. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:29-33 [Conf]
  31. Haym Hirsh
    Learning from Data with Bounded Inconsistency. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:32-39 [Conf]
  32. Haym Hirsh
    Incremental Version-Space Merging. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:330-338 [Conf]
  33. Steven W. Norton, Haym Hirsh
    Learning DNF Via Probabilistic Evidence Combination. [Citation Graph (0, 0)][DBLP]
    ICML, 1993, pp:220-227 [Conf]
  34. Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh
    Experience-efficient learning in associative bandit problems. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:889-896 [Conf]
  35. Gary M. Weiss, Haym Hirsh
    The Problem with Noise and Small Disjuncts. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:574-0 [Conf]
  36. Sarah Zelikovitz, Haym Hirsh
    Improving Short-Text Classification using Unlabeled Data for Classification Problems. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1191-1198 [Conf]
  37. Haym Hirsh
    Explanation-based Generalization in a Logic- Programming Environment. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1987, pp:221-227 [Conf]
  38. Haym Hirsh
    Theoretical Underpinnings of Version Spaces. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1991, pp:665-670 [Conf]
  39. Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik
    Using Text Classifiers for Numerical Classification. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:885-890 [Conf]
  40. Sarah Zelikovitz, Haym Hirsh
    Integrating Background Knowledge Into Text Classification. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1448-1449 [Conf]
  41. William W. Cohen, Haym Hirsh
    Joins that Generalize: Text Classification Using WHIRL. [Citation Graph (0, 0)][DBLP]
    KDD, 1998, pp:169-173 [Conf]
  42. Sofus A. Macskassy, Arunava Banerjee, Brian D. Davison, Haym Hirsh
    Human Performance on Clustering Web Pages: A Preliminary Study. [Citation Graph (0, 0)][DBLP]
    KDD, 1998, pp:264-268 [Conf]
  43. Gary M. Weiss, Haym Hirsh
    Learning to Predict Rare Events in Event Sequences. [Citation Graph (0, 0)][DBLP]
    KDD, 1998, pp:359-363 [Conf]
  44. William W. Cohen, Haym Hirsh
    Learning the Classic Description Logic: Theoretical and Experimental Results. [Citation Graph (0, 0)][DBLP]
    KR, 1994, pp:121-133 [Conf]
  45. Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan Aumann, Orly Liphstat, Yonatan Schler, Martin Rajman
    Knowledge Management: A Text Mining Approach. [Citation Graph (0, 0)][DBLP]
    PAKM, 1998, pp:- [Conf]
  46. Sofus A. Macskassy, Haym Hirsh, Foster J. Provost, Ramesh Sankaranarayanan, Vasant Dhar
    Intelligent Information Triage. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2001, pp:318-326 [Conf]
  47. 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). [Citation Graph (0, 0)][DBLP]
    TREC, 1996, pp:- [Conf]
  48. Khaled Rasheed, Haym Hirsh, Andrew Gelsey
    A genetic algorithm for continuous design space search. [Citation Graph (0, 0)][DBLP]
    AI in Engineering, 1997, v:11, n:3, pp:295-305 [Journal]
  49. Haym Hirsh, Nina Mishra, Leonard Pitt
    Version spaces and the consistency problem. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2004, v:156, n:2, pp:115-138 [Journal]
  50. Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, Aynur A. Dayanik
    Converting numerical classification into text classification. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2003, v:143, n:1, pp:51-77 [Journal]
  51. Khaled Rasheed, Haym Hirsh
    Learning to be selective in genetic-algorithm-based design optimization. [Citation Graph (0, 0)][DBLP]
    AI EDAM, 1999, v:13, n:3, pp:157-169 [Journal]
  52. Mark Schwabacher, Thomas Ellman, Haym Hirsh
    Learning to set up numerical optimizations of engineering designs. [Citation Graph (0, 0)][DBLP]
    AI EDAM, 1998, v:12, n:2, pp:173-192 [Journal]
  53. Steve A. Chien, Haym Hirsh
    Editorial Introduction: The Fourteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2001). [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2002, v:23, n:2, pp:9-10 [Journal]
  54. Robert S. Engelmore, Haym Hirsh
    Editorial Introduction to this Special Issue of AI Magazine: The Twelfth Innovative Applications of Artificial Intelligence Conference (IAAI-2000). [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2001, v:22, n:2, pp:13-14 [Journal]
  55. Matthew Stone, Haym Hirsh
    Artificial Intelligence: The Next Twenty-Five Years. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2005, v:26, n:4, pp:85-97 [Journal]
  56. Marti A. Hearst, Haym Hirsh
    AI's Greatest Trends and Controversies. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2000, v:15, n:1, pp:8-17 [Journal]
  57. Haym Hirsh
    Trends & Controversies: Interactive Fiction. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 1998, v:13, n:6, pp:12-21 [Journal]
  58. Haym Hirsh, Michiel O. Noordewier
    Using Background Knowledge to Improve Inductive Learning: A Case Study in Molecular Biology. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1994, v:9, n:5, pp:3-6 [Journal]
  59. Sarah Zelikovitz, William W. Cohen, Haym Hirsh
    Extending WHIRL with background knowledge for improved text classification. [Citation Graph (0, 0)][DBLP]
    Inf. Retr., 2007, v:10, n:1, pp:35-67 [Journal]
  60. Chumki Basu, Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning
    Technical Paper Recommendation: A Study in Combining Multiple Information Sources. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2001, v:14, n:, pp:231-252 [Journal]
  61. Ronen Feldman, Haym Hirsh
    Exploiting Background Information in Knowledge Discovery from Text. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 1997, v:9, n:1, pp:83-97 [Journal]
  62. William W. Cohen, Haym Hirsh
    The Learnability of Description Logics with Equality Constraints. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:17, n:2-3, pp:169-199 [Journal]
  63. Haym Hirsh
    Generalizing Version Spaces. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1994, v:17, n:1, pp:5-46 [Journal]

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