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