Acquiring domain models
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Whereas a Learning Apprentice System stresses the generation and refinement of shallow rules of a performance program, presupposing a domain theory, BLIP‡ is mainly concerned with the construction of a domain theory as the first phase of the knowledge-acquisition process. In this paper the BLIP approach to machine learning is described. The system design is presented and the already implemented knowledge sources are shown with their formalisms and functions for the learning process.
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