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Investigating Explanation-Based Learning
     

Investigating Explanation-Based Learning

by Gerald DeJong (Editor)
 
Explanation-Based Learning (EBL) can generally be viewed as substituting background knowledge for the large training set of exemplars needed by conventional or empirical machine learning systems. The background knowledge is used automatically to construct an explanation of a few training exemplars. The learned concept is generalized directly from this explanation.

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