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Knowledge Representation and Organization in Machine Learning
Lecture Notes in Computer Science 347 - Lecture Notes in Artificial Intelligence
ISBN/EAN: 9783540507680
Umbreit-Nr.: 1483780
Sprache:
Englisch
Umfang: xviii, 322 S.
Format in cm:
Einband:
kartoniertes Buch
Erschienen am 25.01.1989
- Zusatztext
- InhaltsangabeExplanation: A source of guidance for knowledge representation.- (Re)presentation issues in second generation expert systems.- Some aspects of learning and reorganization in an analogical representation.- A knowledge-intensive learning system for document retrieval.- Constructing expert systems as building mental models or toward a cognitive ontology for expert systems.- Sloppy modeling.- The central role of explanations in disciple.- An inference engine for representing multiple theories.- The acquisition of model-knowledge for a model-driven machine learning approach.- Using attribute dependencies for rule learning.- Learning disjunctive concepts.- The use of analogy in incremental SBL.- Knowledge base refinement using apprenticeship learning techniques.- Creating high level knowledge structures from simple elements.- Demand-driven concept formation.