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Refinement of uncertain rule bases via reduction. (English) Zbl 0941.68760

MSC:
68T37 Reasoning under uncertainty in the context of artificial intelligence
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[1] Amarel, S., Expert behavior and problem representations, () · Zbl 0276.68007
[2] Angluin, D., Learning propositional Horn sentences with hints, ()
[3] Angluin, D.; Smith, C., A survey of inductive inference: theory and methods, Comput. surveys, 15, 237-269, (1983)
[4] Bareiss, R.; Porter, B.W.; Murray, K.S., Supporting start-to-finish development of knowledge bases, Machine learning, 4, 3/4, (1989)
[5] Benjamin, D., Change of representation and inductive bias, (1990), Kluwer Academic · Zbl 0747.68003
[6] Buchanan, B.G., Can machine learning offer anything to expert systems?, Machine learning, 4, 3/4, (1989)
[7] Buchanan, B.G.; Shortliffe, E.H., Rule-based expert systems: the MYCIN experiments of the Stanford heuristic programming project, (1984), Addison-Wesley Norwell, Mass
[8] Dietterich, T.; Michalski, R., A comparative review of selected methods from learning from examples, ()
[9] Duda, R.; Hart, P.; Nilsson, N., Subjective Bayesian methods for rule-based inference systems, ()
[10] Garey, M.; Johnson, D., Computers and intractability: A guide to the theory of NP-completeness, (1979), Freeman · Zbl 0411.68039
[11] Gashnig, J., Prospector: an expert system for mineral exploration, ()
[12] Ginsberg, A., Automatic refinement of expert system knowledge bases, (1988), Pitman London · Zbl 0694.68005
[13] Ginsberg, A., Knowledge-base reduction: A new approach to checking knowledge bases for inconsistency and redundancy, ()
[14] Ginsberg, A., Knowledge base refinement and theory revision, ()
[15] Jackson, P., Prime implicates: their computation and use, (), 53-64
[16] Kearns, M., The computational complexity of machine learning, (1990), MIT Press London
[17] Korf, R., Toward a model of representation changes, Artificial intelligence, 14, 41-78, (1980)
[18] Lapointe, S.; Ling, X.; Matwin, S., Constructive inductive logic programming, (), 1030-1036
[19] Ling, X., Inductive learning from good examples, (), 751-756 · Zbl 0748.68059
[20] Ling, X.; Cherwenka, S.; Marinov, M., A symbolic model for learning the past tenses of English verbs, (), 1143-1149
[21] Ling, X.; Dawes, M., Horn-clause theory reduction with preservation of uncertainty rank, (), 90
[22] Ma, Y.; Wilkins, D., Improving the performance of inconsistent knowledge bases via combined optimization method, ()
[23] Michalski, R., A theory and methodology of inductive learning, ()
[24] Mitchell, T.; Keller, R.; Kedar-Cabelli, S., Explanation-based generalization: A unifying view, Machine learning, 1, 1, 47-80, (1986)
[25] Musen, M.A., Automated support for building and extending expert models, Machine learning, 4, 3/4, (1989)
[26] Pearl, J., Probabilistic reasoning in intelligent systems: networks of plausible inference, (1988), Morgan Kaufmann
[27] Quinlan, J., Inferno: A cautious approach to uncertain inference, Comput. J., 26, 2, 255-269, (1983)
[28] Reiter, J., AL/X: an expert system using plausible inference, (1980), Intelligent Terminals San Mateo, Calif
[29] Shortliffe, E., Computer based medical consultations: MYCIN, (1976), Elsevier Oxford, U.K
[30] Togai, M.; Watanabe, H., Expert system on a chip: an engine for real-time approximate reasoning, IEEE expert, 1, 3, 55-62, (1986)
[31] Valtorta, M., Some results on knowledge base refinement with an oracle, ()
[32] Valtorta, M., More results on the complexity of knowledge base refinement: belief networks, (), 419-426
[33] Valtorta, M., Knowledge base refinement: A bibliography, J. appl. intelligence, 1, 1, 87-94, (1991) · Zbl 0743.68117
[34] Valtorta, M., Some results on the computational complexity of refining confidence factors, Internat. J. approx. reason., 5, 2, (1991)
[35] Valtorta, M.; Loveland, D., On the complexity of belief network synthesis and refinement, Internat. J. approx. reason., 7, 3-4, (1992)
[36] Wang, S.; Valtorta, M., On the conversion of rule bases into belief networks, (), 363-368
[37] Zlatareva, N., Truth maintenance systems and their application for verifying expert system knowledge bases, Artificial intelligence rev., 6, 1, 67-110, (1992) · Zbl 0754.68116
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