| Document Date: 2002-02-06 19:34:39
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City Austin / / Company Cox / Computer Sciences / / Country United States / Netherlands / / Currency pence / / / Facility University of Texas / University of California at Irvine / / IndustryTerm heuristic search methods / machine learning systems / nement systems / erent theory-re nement systems / machine learning research / greedy set-covering algorithm / straightforward hill-climbing induction algorithm / realistic applications / ective machine learning systems / expert systems / learning algorithm / / Organization University of California / University of Texas / Department of Computer Sciences / / Person Theory Re / Audrey II / / Position General / / ProgrammingLanguage C++ / / ProvinceOrState Texas / California / / Technology learning algorithm / Theory Refinement Algorithms / Theory Re nement Algorithm / artificial intelligence / Bipartite algorithm / fairly straightforward hill-climbing induction algorithm / Machine Learning / Lab Algorithm / greedy set-covering algorithm / / URL http /
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Appears in Abduction and Induction P. Flach and A. Kakas (Eds.), pp[removed], Kluwer Academic Publishers, 2000 Integrating Abduction and Induction in Machine Learning Raymond J. Mooney ([removed])