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Conferences in DBLP

Knowledge Representation and Organization in Machine Learning (kroml)
1987 (conf/kroml/1987)

  1. William R. Swartout, Stephen W. Smoliar
    Explanation: A Source of Guidance for Knowledge Representation. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:1-16 [Conf]
  2. Walter Van de Velde
    (Re)Presentation Issues in Second Generation Expert Systems. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:17-49 [Conf]
  3. Michael Mohnhaupt, Bernd Neumann
    Some Aspects of Learning and Reorganization in an Analogical Representation. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:50-64 [Conf]
  4. Roy Rada, Hafedh Mili
    A Knowledge-Intensive Learning System for Document Retrieval. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:65-87 [Conf]
  5. David C. Littmann
    Constructing Expert Systems as Building Mental Models or Toward a Cognitive Ontology for Expert Systems. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:88-106 [Conf]
  6. Katharina Morik
    Sloppy Modeling. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:107-134 [Conf]
  7. Yves Kodratoff, Gheorghe Tecuci
    The Central Role of Explannations in DISCIPLE. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:135-147 [Conf]
  8. Werner Emde
    An Inference Engine for Representing Multiple Theories. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:148-176 [Conf]
  9. Sabine Thieme
    The Acquisition of Model-Knowledge for a Model-Driven Machine Learning Approach. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:177-191 [Conf]
  10. Maarten van Someren
    Using Attribute Dependencies for Rule Learning. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:192-210 [Conf]
  11. Michel Manago, Jim Blythe
    Learning Disjunctive Concepts. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:211-230 [Conf]
  12. Christel Vrain, Yves Kodratoff
    The Use of Analogy in Incremental SBL. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:231-246 [Conf]
  13. David C. Wilkins
    Knowledge Base Refinement Using Apprenticeship Learning Techniques. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:247-257 [Conf]
  14. Michael J. Pazzani
    Creating High Level Knowledge Structures from Simple Elements. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:258-288 [Conf]
  15. Stefan Wrobel
    Demand-Driven Concept Formation. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:289-319 [Conf]
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