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The CLARET algorithm

  • Adrian R. Pearce
  • Terry Caelli
Posters
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1394)

References

  1. 1.
    Bischof, W. F., Caelli, T.: Learning Structural Descriptions of Patterns: A New Technique for Conditional Clustering and Rule Generation. Pattern Recognition 27 (1994) 689–97CrossRefGoogle Scholar
  2. 2.
    Bratko, I., Muggleton, S.: Applications of inductive logic programming. Communications of the ACM 38 (1995) 65–70CrossRefGoogle Scholar
  3. 3.
    Georgeff, M. P., Lannsky, A.: Procedural Knowledge. Proceedings of the IEEE (Special Issue on Knowledge Representation) 74 (1986 1383–1398Google Scholar
  4. 4.
    Pearce, A., Caelli, T., Bischof, W.: CLARET: A new Relational Learning Algorithm for Interpretation in Spatial Domains. Proceedings of the Fourth International Conference on Control, Automation, Robotics and Vision (ICARV'96), Singapore, December (1996) 65–654Google Scholar
  5. 5.
    Pearce, A. R., Caelli, T., Bischof, W. F.: Rulegraphs for Graph Matching in Pattern Recognition. Pattern Recognition 27 (1994) 1231–47CrossRefGoogle Scholar
  6. 6.
    Quinlan, J. R.: Learning logical definitions from relations Machine Learning 5 (1990) 239–66Google Scholar
  7. 7.
    Quinlan, J. R.: C4.5 Programs for Machine Learning Morgan Kaufmann (1993)Google Scholar
  8. 8.
    Sammut, C., Hurst, S., Kedzier, D., Michie, D.: Learning to Fly Proceedings of the Ninth International Conference on Machine Learning, Morgan Kaufmann (1992) 385–393Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Adrian R. Pearce
    • 1
  • Terry Caelli
    • 2
  1. 1.School of ComputingCurtin UniversityPerthAustralia
  2. 2.Center for MappingThe Ohio State UniversityColumbusUSA

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