Knowledge Representation and Organization in Machine Learning [Workshop, 1987, Schloß Ehringerfeld, Germany] - researchr publication

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Katharina Morik, editor, Knowledge Representation and Organization in Machine Learning [Workshop, 1987, Schloß Ehringerfeld, Germany]. Volume 347 of Lecture Notes in Computer Science, Springer, 1989.

Conference: kroml1989

Abstract is missing.

Explanation: A Source of Guidance for Knowledge RepresentationWilliam R. Swartout, Stephen W. Smoliar. 1-16

(Re)Presentation Issues in Second Generation Expert SystemsWalter Van de Velde. 17-49

Some Aspects of Learning and Reorganization in an Analogical RepresentationMichael Mohnhaupt, Bernd Neumann. 50-64

A Knowledge-Intensive Learning System for Document RetrievalRoy Rada, Hafedh Mili. 65-87

Constructing Expert Systems as Building Mental Models or Toward a Cognitive Ontology for Expert SystemsDavid C. Littmann. 88-106

Sloppy ModelingKatharina Morik. 107-134

The Central Role of Explannations in DISCIPLEYves Kodratoff, Gheorghe Tecuci. 135-147

An Inference Engine for Representing Multiple TheoriesWerner Emde. 148-176

The Acquisition of Model-Knowledge for a Model-Driven Machine Learning ApproachSabine Thieme. 177-191

Using Attribute Dependencies for Rule LearningMaarten van Someren. 192-210

Learning Disjunctive ConceptsMichel Manago, Jim Blythe. 211-230

The Use of Analogy in Incremental SBLChristel Vrain, Yves Kodratoff. 231-246

Knowledge Base Refinement Using Apprenticeship Learning TechniquesDavid C. Wilkins. 247-257

Creating High Level Knowledge Structures from Simple ElementsMichael J. Pazzani. 258-288

Demand-Driven Concept FormationStefan Wrobel. 289-319

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