Lazy Propagation in Case Retrieval Nets
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چکیده
An efficient retrieval of a relatively small number of relevant cases from a huge case base is a crucial subtask of Case-Based Reasoning (CBR). In this article, we investigate Case Retrieval Nets, a memory model for this task which is applicable in any domain with attribute-based case representations. The main idea is to apply a restricted spreading activation process in the case memory in order to retrieve the cases most similar to a posed query case.
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تاریخ انتشار 1996