MLIA Technical Papers

AAAI Spring Symposium on
Machine Learning in Information Access
Technical Papers

Stanford, March 25-27, 1996
Marti Hearst and Haym Hirsh, co-chairs
mlia@parc.xerox.com

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Full Papers

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

Poster Papers

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

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