Titlebook: Case-Based Reasoning; A Textbook Michael M. Richter,Rosina O. Weber Textbook 2013 Springer-Verlag GmbH Germany 2013 Artificial intelligence

吊胃口

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FAWN

清晰

Retrievalhat depends on the complexity of case representation and similarity assessment. It includes methods such as sequential retrieval, two-level retrieval, and retrieval methods with more complex indexing, geometric methods and Voronoi diagrams. As a major example of index-based retrieval, we consider kd

FELON

大罵

Evaluation, Revision, and Learningknowledge. It deals with revising the methods if something is definitely wrong and with improving CBR systems by machine learning if the results are weak. In this chapter methods for evaluating, revising and improving CBR are discussed in that order. Evaluation detects the weaknesses of a system. Re

撕裂皮肉

新陳代謝

Advanced CBR Elementstarts by discussing the advanced aspect of the relationships between containers. The new concepts presented here are however of heterogeneous character in order to cover some aspects not yet presented. We also present a deeper discussion of contexts; CBR systems, their properties, their conditions,

紀(jì)念

斷言

Advanced Retrieval First, we consider two advanced retrieval methods: Case Retrieval Nets and Fish and Shrink. Both require a special case representation form. In the case of retrieval nets, the queries and the cases are incrementally completed. Fish and Shrink deals with very complex situations that have different a