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Michael Bain: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Michael Bain
    Structured Features from Concept Lattices for Unsupervised Learning and Classification. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:557-568 [Conf]
  2. Michael Bain
    Inductive Construction of Ontologies from Formal Concept Analysis. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:88-99 [Conf]
  3. Michael Bain
    Predicate Invention and the Revision of First-Order Concept Lattices. [Citation Graph (0, 0)][DBLP]
    ICFCA, 2004, pp:329-336 [Conf]
  4. Michael Bain
    Experiments in Non-Monotonic Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:380-384 [Conf]
  5. Stephen Muggleton, Michael Bain, Jean Hayes Michie, Donald Michie
    An Experimental Comparison of Human and Machine Learning Formalisms. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:113-118 [Conf]
  6. Stephen Muggleton, Ashwin Srinivasan, Michael Bain
    Compression, Significance, and Accuracy. [Citation Graph (0, 0)][DBLP]
    ML, 1992, pp:338-347 [Conf]
  7. Stephen Muggleton, Michael Bain
    Analogical Prediction. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:234-244 [Conf]
  8. Michael Bain, Stephen Muggleton
    Learning optimal chess strategies. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 13, 1994, pp:291-309 [Conf]
  9. Michael Bain, Ashwin Srinivasan
    Inductive Logic Programming With Large-Scale Unstructured Data. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 14, 1993, pp:235-0 [Conf]
  10. Michael Bain, Claude Sammut
    A Framework for Behavioural Cloning. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 15, 1995, pp:103-129 [Conf]
  11. Ashwin Srinivasan, Stephen Muggleton, Michael Bain
    The Justification of Logical Theories based on Data Compression. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 13, 1994, pp:87-121 [Conf]
  12. Donald Michie, Michael Bain
    Machines That Learn and Machines That Teach. [Citation Graph (0, 0)][DBLP]
    SCAI, 1989, pp:1-25 [Conf]
  13. Ken Ueno, Koichi Furukawa, Michael Bain
    Motor Skill as Dynamic Constraint Satisfaction. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 2000, v:4, n:B, pp:83-96 [Journal]
  14. Ashwin Srinivasan, Ross D. King, Michael Bain
    An Empirical Study of the Use of Relevance Information in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:369-383 [Journal]

  15. Virtual Apparatus Framework Approach to Constructing Adaptive Tutorials. [Citation Graph (, )][DBLP]

  16. Adaptive Tutorials for Virtual Microscopy: A Design Paradigm to Promote Pedagogical Ownership. [Citation Graph (, )][DBLP]

  17. Learning with Gene Ontology Annotation Using Feature Selection and Construction. [Citation Graph (, )][DBLP]

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