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An Incremental Learning Algorithm for Inferring Boolean Functions

In: Data Mining and Knowledge Discovery via Logic-Based Methods

Author

Listed:
  • Evangelos Triantaphyllou

    (Louisiana State University)

Abstract

The previous chapter studied the sub guided learning guided learning problem. In that setting, the analyst has the option to select which unclassified example to send to the sub oracle oracle for classification and use that information to improve the understanding of the system under consideration. When the new example would unveil the need for an update, one had to use all the existing training examples, plus the newly classified example, to infer a new (and hopefully more accurate) pattern in the form of a Boolean function or other data mining model.

Suggested Citation

  • Evangelos Triantaphyllou, 2010. "An Incremental Learning Algorithm for Inferring Boolean Functions," Springer Optimization and Its Applications, in: Data Mining and Knowledge Discovery via Logic-Based Methods, chapter 0, pages 125-145, Springer.
    • Handle: RePEc:spr:spochp:978-1-4419-1630-3_6
    DOI: 10.1007/978-1-4419-1630-3_6
    as

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