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Proper indexing of cases is critically important to the functioning of a case-based reasoner. In real domains such as fault recovery, a body of domain knowledge exists that can be captured and brought to bear on the indexing problem-even though the knowledge is incomplete. Modified explanation-based learning techniques allow the use of the incomplete domain(More)
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