| Title and Author(s) | Available As |
|---|---|
| RAVE Reviews: Acquiring relevance assessments from multiple
users Richard K. Belew (UCSD) and John Hatton (Summer Institute of Linguistics) |
postscript |
| Representational Issues in Machine Learning of User Profiles Eric Bloedorn, Inderjeet Mani, and T. Richard MacMillan (MITRE) | postscript |
| Learning Rules that Classify E-mail William W. Cohen (AT&T Laboratories) | postscript |
| Combining evidence for effective information filtering Susan T. Dumais (Bellcore) | postscript |
| Experience with Learning Agents which Manage Internet-Based
Information Peter Edwards, David Bayer, Claire L. Green, and Terry R. Payne (University of Aberdeen) | postscript |
| A Grammar Inference Algorithm for the World Wide Web Terrance Goan (Stottler Henke Assoc.), Nels Belson, and Oren Etzioni (University of Washington) | postscript |
| Document Routing as Statistical Classification David Hull (Rank Xerox), Jan Pedersen, and Hinrich Schuetze (Xerox PARC) | postscript |
| SIGMA: Integrating Learning Techniques in Computational Markets
for Information Filtering Grigoris J. Karakoulas (Canadian Imperial Bank) Innes A. Ferguson (National Research Council, Canada) |
postscript (level 2) |
| A Framework for Comparing Text Categorization Approaches Isabelle Moulinier (Universite Paris) | postscript |
| Syskill & Webert:
Identifying interesting web sites Michael Pazzani, Jack Muramatsu and Daniel Billsus (UC Irvine) | postscript |
| Applying the Multiple Cause Mixture Model to Text Categorization Mehran Sahami (Stanford), Marti Hearst, and Eric Saund (Xerox PARC) | postscript |
| Sampling Strategies and Learning Efficiency in Text Categorization Yiming Yang (Mayo Clinic) | postscript |
| Title and Author(s) | Available As |
|---|---|
| Multi-Media Fusion Through Application of Machine Learning and
NLP Chinatso Aone, Scott William Bennett, and Jim Gorlinsky (SRA) | postscript |
| Improving FAQfinder's Performance: Setting Parameters by Genetic
Programming Edwin Cooper (University of Chicago) | postscript |
| Neural Net Learning Issues in Classification of Free Text
Documents Venu Dasigi (Sacred Heart University) and Reinhold C. Mann (Oak Ridge National Laboratory) | postscript |
| Automatic Concept Acquisition from Real-World Texts Udo Hahn, Manfred Klenner, and Klemens Schnattinger (Freiburg University, Germany) | postscript |
| Inferring What a User is Not Interested In Robert C. Holte and John Ng Yuen Yan (University of Ottawa) | postscript |
| Learning user information interests through the extraction of
semantically significant phrases Bruce Krulwich and Chad Burkey (Andersen Consulting LLP) | postscript |
| The Use of Active Learning in Text Categorization Ray Liere and Prasad Tadepalli (Oregon State University) | postscript |
| Learning Text Filtering Preferences Anadeep S. Pannu and Katia Sycara (CMU) |
postscript of paper postscript of figure 2 |
| Do I Care? -- Tell Me What's Changed on the Web Brian Starr, Mark S. Ackerman, and Michael Pazzani (UC Irvine) | postscript |
| Learning Models for Multi-Source Integration Sheila Tejada, Craig A. Knoblock, and Steven Minton (USC/ISI) | postscript |
| Text Classification in USENET Newsgroups: A Progress Report Scott A. Weiss, Simon Kasif, and Eric Brill (Johns Hopkins University) | postscript |
mlia@parc.xerox.com