Quantitative results concerning the utility of explanation-based learning
Artificial Intelligence
An algorithm for computing the transitive closure of a fuzzy similarity matrix
Fuzzy Sets and Systems
WWW Assisted Browsing by Reusing Past Navigations of a Group of Users
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Categorizing Case-Base Maintenance: Dimensions and Directions
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Spatial Event Prediction by Combining Value Function Approximation and Case-Based Reasoning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
International Journal of Hybrid Intelligent Systems
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We propose a new case base maintenance strategy which allows the improvement of the prediction quality of CBR system. This strategy combines the learning of new selected cases, the reduction of the use of noise cases, and the removal of not useful cases. We describe in this paper the case based reasoning system, in which we have associated new measurements for the source cases. These measurements vary with the use of the cases to get target cases solutions.