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Titlebook: Machine Learning, Meta-Reasoning and Logics; Pavel B. Brazdil,Kurt Konolige Book 1990 Kluwer Academic Publishers 1990 Extension.artificial

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A Tool for the Management of Incomplete Theories: Reasoning about Explanationintegrating Explanation-Based Learning (EBL) with different techniques of empirical learning. We propose a system that relies on Explanation-Based Generalization (EBG). In our case, the EBG module receives multiple concept instances. The learning mechanism presented in this paper allows incremental
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A Comparison of Rule and Exemplar-Based Learning Systemsems learning concepts represented in this form with those which learn concepts represented by decision rules, such as the ID3 and AQU rule induction systems. We aim to clarify the distinction between the two representational schemes, and compare how systems based on the different schemes address the
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Discovery and Revision via Incremental Hill Climbingiefs. When performing this task, existing truth maintenance systems, such as the TMS an ATMS, tend to keep too many alternate beliefs in memory. When searching for consistency among beliefs, and ATMS typically finds all solutions. ATMS finds only one, but beliefs not part of the current theory are s
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