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We begin by examining the limitations of precedent-based explanations of the predicted outcome in case-based reasoning (CBR) approaches to classification�...
Abstract. We begin by examining the limitations of precedent-based explana- tions of the predicted outcome in case-based reasoning (CBR) approaches to.
Bibliographic details on Explaining the Pros and Cons of Conclusions in CBR.
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CBR also offers incremental, sustained learning in that each time a problem is solved a new experience is retained and can be applied for future problems.
McSherry, D.: Explaining the pros and cons of conclusions in CBR. In: Advances in Case-Based Reasoning. pp. 317–330. Springer, Berlin (2004). 33. McSherry, D�...
Jul 30, 2023This paper presents results from a human subjects study that examined how alternative retrieval processes (one-shot or conversational) and case presentation�...
In case-based reasoning (CBR), a new problem is solved by retrieving a similar problem from a case base (i.e., a collection of previous problems with known�...
Jun 18, 2023The advantages of CBR include reusability, adaptability, explanation, and learning. The challenges of CBR include case representation and�...
CBR is perceived to h ave this knowledge engineering advantage because it allows the development of knowledge based systems in weak theory domains. If CBR�...
If retrieval and adaptation mechanisms are easy to implement then CBR has clear KE advantages over 'from first principles' techniques. Many implemented CBR�...