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Titlebook: Case-Based Reasoning Research and Development; 6th International Co Héctor Muñoz-Ávila,Francesco Ricci Conference proceedings 2005 Springer

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Informational Content of the Echinoderm Eggving method in each of the steps of the reasoning cycle. The system has been tested in 22 small and medium companies in the textile sector, located in the northwest of Spain during the last 29 months and the results obtained have been very encouraging.
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Mohammed I. El-Sabh,Norman Silverbergement the retrieval step in our new gene-CBR system. The proposed method is illustrated with the analysis of microarray data belonging to bone marrow cases from 43 adult patients with cancer plus a group of three cases corresponding to healthy persons.
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Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game of learning to win real-time games. Focusing on ., they report good results for a genetic algorithm that searches in plan space, and for a weighting algorithm (.) that biases subplan retrieval. However, both approaches assume a static opponent, and were not designed to transfer their learned knowle
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An Ensemble of Case-Based Classifiers for High-Dimensional Biological Domainsuce this diversity is to base the classifiers on different case-bases. In this paper, we propose the mixture of experts for case-based reasoning (MOE4CBR), where clustering techniques are applied to cluster the case-base into . groups, and each cluster is used as a case-base for our . CBR classifier
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Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning overhead in developing and maintaining translation protocols between distributed case bases poses a serious challenge to CBR developers. In this paper, we situate CBR as a flexible problem-solving strategy that relies on several heterogeneous knowledge containers. We introduce a technique called .
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