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

instulate

Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systemsxtension 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.

从容

An Evaluation of the Usefulness of Case-Based Explanationplore this, we have developed a CBR system for predicting blood-alcohol level. We compare explanations of predictions produced by this system with alternative rule-based explanations. The case-based explanations fare very well in this evaluation and score significantly better than the rule-based alternative.

多样

Acoustooptic Signal Processing,orithms are used to optimize the mapping between two models based on their structure and semantics..Experiments are described in which analogies are identified from the models in the repository. The results reported show that this approach is viable.

轻推

https://doi.org/10.1007/978-1-4615-7542-9y algorithm for it. Finally, we show that our approach provides not only a quantitative measure of the similarity, but also qualitative information which can prove valuable in the adaptation phase of CBR.

防水

jovial

Analogical Reasoning for Reuse of Object-Oriented Specificationsorithms are used to optimize the mapping between two models based on their structure and semantics..Experiments are described in which analogies are identified from the models in the repository. The results reported show that this approach is viable.

招人嫉妒

Measuring the Similarity of Labeled Graphsy algorithm for it. Finally, we show that our approach provides not only a quantitative measure of the similarity, but also qualitative information which can prove valuable in the adaptation phase of CBR.

Armada

Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classificationte our approach by comparing the classification accuracy of cbr models built with and without removing outliers from the training data set. It is demonstrated that applying the rbm technique for eliminating outliers significantly improves the accuracy of cbr-based software quality classification models.

OVERT

Assessing the Organization: System Design,contexts, and how each part of the combined system can help to extend the capabilities of the other. This talk describes ongoing research addressing these questions in the context of case-based support for human knowledge modeling and construction.

headlong

The Dynamics of a Network of Demand Servos knowledge to guide first-principles planners. More recently, the speaker has developed a theory explaining how cases can play both roles. This theory facilitates the use of CBP for a number of new applications including project planning and plan discovery.