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explanation-based learning中文什么意思

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百科释义

    Explanation-based learning (EBL) is a form of machine learning that exploits a very strong, or even perfect, domain theory to make generalizations or form concepts from training examples.Special Issue on Explanation in Case-Based Reasoning
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