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Home / Proceedings / Papers from the 1996 AAAI Spring Symposium /

Machine Learning in Information Access

Contents

  • Document Routing as Statistical Classification

    David Hull, Jan Pedersen, and Hinrich Schutze

    PDF
  • Learning Models for Multi-Source Integration

    Craig A. Knoblock, and Steven Minton

    PDF
  • Learning Text Filtering Preferences

    Anadeep S. Pannu and Katia Sycara

    PDF
  • A Framework for Comparing Text Categorization Approaches

    Isabelle Moulinier

    PDF
  • Experience with Learning Agents Which Manage Internet-Based Information

    Peter Edwards, David Bayer, Claire L. Green, and Terry R. Payne

    PDF
  • Learning Rules that Classify E-mail

    William W. Cohen

    PDF
  • Applying the Multiple Cause Mixture Model to Text Categorization

    Mehran Sahami, Marti Hearst, and Eric Saund

    PDF
  • Automatic Concept Acquisition from Real-World Texts

    Udo Hahn, Manfred Klenner, and Klemens Schnattinger

    PDF
  • Neural Net Learning Issues in Classification of Free Text Documents

    Venu Dasigi and Reinhold C. Mann

    PDF
  • Representational Issues in Machine learning of User Profiles

    Eric Bloedorn, Inderjeet Mani. and T. Richard MacMillan

    PDF
  • Learning User Information Interests Through the Extraction of Semantically Significant Phrases

    Bruce Krulwich and Chad Burkey

    PDF
  • Syskill & Webert: Identifying Interesting Web Sites

    Michael Pazzani, Jack Muramatsu, and Daniel Billsus

    PDF
  • Do I Care? — Tell Me What’s Changed on the Web

    Mark S. Ackerman, and Michael Pazzani

    PDF
  • SIGMA: Integrating Learning Techniques in Computational Markets for Information Filtering

    Grigoris J. Karakoulas and Innes A. Ferguson

    PDF
  • Multi-Media Fusion Through Application of Machine Learning and NLP

    Chinatso Aone, Scott William Bennett, and Jim Gorlinsky

    PDF
  • RAVE Reviews: Acquiring Relevance Assessments From Multiple Users

    Richard K. Belew and John Hatton

    PDF
  • Text Classification in USENET Newsgroups: A Progress Report

    Scott A. Weiss, Simon Kasif. and Eric Brill

    PDF
  • Combining Evidence For Effective Information Filtering

    Susan T. Dumais

    PDF
  • Improving FAQfinder’s Performance: Setting Parameters by Genetic Programming

    Edwin Cooper

    PDF
  • Inferring What a User Is Not Interested In

    Robert C. Holte and John Ng Yuen Yan

    PDF
  • Sampling Strategies and Learning Efficiency in Text Categorization

    Yiming Yang

    PDF
  • The Use of Active Learning in Text Categorization

    Ray Liere and Prasad Tadepalli

    PDF
  • A Grammar Inference Algorithm for the World Wide Web

    Terrance Goan, Nels Belson, and Oren Etzioni

    PDF

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