Machine Learning in Information Access
Contents
Document Routing as Statistical Classification
PDFLearning Models for Multi-Source Integration
PDFLearning Text Filtering Preferences
PDFA Framework for Comparing Text Categorization Approaches
PDFExperience with Learning Agents Which Manage Internet-Based Information
PDFLearning Rules that Classify E-mail
PDFApplying the Multiple Cause Mixture Model to Text Categorization
PDFAutomatic Concept Acquisition from Real-World Texts
PDFNeural Net Learning Issues in Classification of Free Text Documents
PDFRepresentational Issues in Machine learning of User Profiles
PDFLearning User Information Interests Through the Extraction of Semantically Significant Phrases
PDFSyskill & Webert: Identifying Interesting Web Sites
PDFDo I Care? — Tell Me What’s Changed on the Web
PDFSIGMA: Integrating Learning Techniques in Computational Markets for Information Filtering
PDFMulti-Media Fusion Through Application of Machine Learning and NLP
PDFRAVE Reviews: Acquiring Relevance Assessments From Multiple Users
PDFText Classification in USENET Newsgroups: A Progress Report
PDFCombining Evidence For Effective Information Filtering
PDFImproving FAQfinder’s Performance: Setting Parameters by Genetic Programming
PDFInferring What a User Is Not Interested In
PDFSampling Strategies and Learning Efficiency in Text Categorization
PDFThe Use of Active Learning in Text Categorization
PDFA Grammar Inference Algorithm for the World Wide Web
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