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Direct transfer of learned information among neural networks

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Changing the rules: a comprehensive approach to theory refinement

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An empirical comparison of ID3 and back-propagation

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Symbolic knowledge and neural networks: insertion, refinement and extraction

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ID2-of-3: Constructive Induction of M-of-N Concepts for Discriminators in Decision Trees

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Using explanation-based and empirical methods in theory revision

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Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL

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Using Background Knowledge in Concept Formation

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