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Titlebook: Case-Based Reasoning Research and Development; 5th International Co Kevin D. Ashley,Derek G. Bridge Conference proceedings 2003 Springer-Ve

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The Dynamics of a Network of Demand Servosporated into SOFT-CBR to facilitate the optimization and maintenance of the system. SOFT-CBR relies on simple XML files for configuration, enabling its widespread use beyond the software development community. SOFT-CBR has been used in an automated insurance underwriting system and a gas turbine diagnosis system.
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George W. Stroke,Maurice Haliouaences. Experiments with a collection of historic cases show that IBP’s predictions are better than those made with its weak model or with cases alone. IBP also has higher accuracy compared to standard inductive and instance-based learning algorithms.
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https://doi.org/10.1007/978-1-4615-7548-1xtension of the Principal Component Analysis, and groups similar cases, identifying clusters automatically in a data set in an unsupervised mode. The method has been successfully used to completely automate the reasoning process of an oceanographic forecasting system and to improve its performance.
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The Dynamics of a Network of Demand Servoscan effectively estimate pairwise preferences and reduce the effort of the elicitation process. Experimental results, both on artificial data and a realworld problem in the domain of civil defence, showed that a good trade-off can be achieved between the accuracy of the estimated preferences, and the elicitation effort of the end user.
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The mouth as a microbial habitat,new designs to have less errors. This verification process takes a CBR approach, which has the advantage of being personalized. We describe experimental results that show the effect of the verification process in the generated solutions.
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https://doi.org/10.1007/978-1-4615-7556-6se-base maintenance policies developed till now. We adapted and implemented these policies to a CBR system for software reuse and design, testing the applicability of these policies to cases with a complex representation (combination of tree and graph representations).
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