Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
MARS: a mergers and acquisitions reasoning system
Computer Science in Economics and Management
C4.5: programs for machine learning
C4.5: programs for machine learning
Case-based reasoning
Case-based reasoning with confidence
Case-based reasoning with confidence
Cases, Predictions, and Accuracy Learning and Its Application to Effort Estimation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Understanding Dubious Future Problems
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Boosting CBR Agents with Genetic Algorithms
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Generating estimates of classification confidence for a case-based spam filter
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Subpopulation-specific confidence designation for more informative biomedical classification
Artificial Intelligence in Medicine
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A case-based reasoning system can produce both a solution and an estimate of the confidence in that solution. The confidence value can be used to determine whether the solution does or does not have the needed accuracy. A statistical method can be used to compute a confidence value from information generated during the case-based reasoning process. This confidence value allows users to know when the results of the system should and should not be used.