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Titlebook: Intelligent Information Systems; Proceedings of the I Mieczysław Kłopotek,Maciej Michalewicz,Sławomir T. Conference proceedings 2000 Spring

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Generation of Exhaustive Rule Sets Using a Reduct Generating Algorithmay have useful applications in descriptive and prescriptive analyses of the data sets, but the problem of searching for interesting rules is, in general, very time consuming. This is a direct consequence of the fact that the computational complexity of the exhaustive rule set generation problem is n
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SBL-PM: A Simple Algorithm for Selection of Reference Instances in Similarity Based Methods of the algorithm is presented, allowing to find a compromise between the number of reference cases retained and the accuracy of the system. Preliminary experiments on real and artificial datasets illustrate these relations.
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Expressiveness of $-Calculus: What Matters? computing, neural nets, expert systems, machine learning, and distributed interactive AI systems, in general. $-calculus has built-in cost-optimization mechanism allowing to deal with nondeterminism, incomplete and uncertain information. In this paper, we investigate expressiveness of $-calculus. W
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Methodology of Diagnostic Knowledge Acquisition from Databases of Examplesen a technical state of a given machine, its operating conditions and observable symptoms of this state. This knowledge may be acquired either from human experts or from databases containing examples. The paper focuses on problems of knowledge acquisition from examples. It concerns the whole range o
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