Titlebook: Case-Based Reasoning Research and Development; 4th International Co David W. Aha,Ian Watson Conference proceedings 2001 Springer-Verlag Ber

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H. I. Bicher,D. F. Bruley,M. H. Kniselyn particular, describes several extensions and improvements of a previously reported system [5,4,6,3] capable of generating expressive music by imitating human performances. The system is based on Case-Based Reasoning (CBR) and Fuzzy techniques.

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Carl A. Goresky,Harry L. Goldsmithnd noise. Recent systems lack robustness, accuracy, and flexibility. The introduction of case-based reasoning (CBR) strategies can help to overcome these drawbacks. The special type of information (i.e., images) and the problems mentioned above provide special requirements for CBR strategies. In thi

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John L. Gainer,Guy M. Chisolm III can be used to estimate similarity among relational cases. This measure is adequate for domains where cases are best represented by relations among entities. An experimental evaluation of the accuracy of . is presented for the task of classifying marine sponges.

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Carl A. Goresky,Harry L. Goldsmithn simulated customer behavior indicated that an uninformed hypothesis about customer weights leads to low ranking accuracy unless customers place some importance on almost all features or the total number of features is quite small. In contrast, LCW’s estimate of the mean preferences of a customer p

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