Abstract
CaseMaker is an interactive environment for intelligent case-authoring support in CREST, a case-based reasoner for estimation tasks, in which the selection of cases for addition to a case library is guided by empirical evaluation of the coverage contributions of candidate cases. We present a new version of the environment called CaseMaker-2 which is designed to support case authoring more effectively by eliminating a previous requirement for the evaluation of candidate cases to be repeated following the addition of a new case to the library. A key role in the approach is played by eValuate, an algorithm for dynamic partitioning of the space of uncovered cases in such a way that the partition containing a given case represents the minimum additional coverage provided by its addition to the case library.
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McSherry, D. (2000). Intelligent Case-Authoring Support in CaseMaker-2. In: Blanzieri, E., Portinale, L. (eds) Advances in Case-Based Reasoning. EWCBR 2000. Lecture Notes in Computer Science, vol 1898. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44527-7_18
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DOI: https://doi.org/10.1007/3-540-44527-7_18
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