Abstract. Case-Based Reasoning (CBR) solves problems by reusing past problemsolving experiences maintained in a casebase. The key CBR knowledge container therefore is its casebase....
Object-oriented frameworks are sophisticated software artifacts that significantly impact productivity when building applications in a given domain. However, frameworks are complex...
Abstract. Decentralized case-based reasoning (DzCBR) is a reasoning framework that addresses the problem of adaptive reasoning in a multi-ontology environment. It is a case-based r...
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Case-Based Reasoning systems retrieve cases using a similarity function based on the K-NN or some derivatives. These functions are sensitive to irrelevant, interacting or noisy fe...