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Titlebook: Case-Based Reasoning Research and Development; 4th International Co David W. Aha,Ian Watson Conference proceedings 2001 Springer-Verlag Ber

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31#
發(fā)表于 2025-3-26 21:17:05 | 只看該作者
32#
發(fā)表于 2025-3-27 02:12:43 | 只看該作者
Stephen M. Cain,Christopher K. Chapler common CBR terminology. In this paper we focus in retrieval and similarity assessment processes taking advantage of this domain knowledge. We describe our CBROnto based similarity representation framework and explain how it is used to represent similarity measures and retrieval processes.
33#
發(fā)表于 2025-3-27 09:20:42 | 只看該作者
G. S. Christensen,S. A. SolimanMoreover, it extracts dependence rules between the attributes describing the cases, that will be used to guide the query formulation process. In this paper we focus in classification based retrieval and the utility of Galois lattices as structures to classify and retrieve cases.
34#
發(fā)表于 2025-3-27 12:40:41 | 只看該作者
Ranking Algorithms for Costly Similarity Measuress been a primary impediment to efficient retrieval. This paper describes several types of general and special-purpose ranking algorithms for case retrieval and evaluates their impact on retrieval efficiency with the Entree restaurant recommender.
35#
發(fā)表于 2025-3-27 17:27:59 | 只看該作者
A Declarative Similarity Framework for Knowledge Intensive CBR common CBR terminology. In this paper we focus in retrieval and similarity assessment processes taking advantage of this domain knowledge. We describe our CBROnto based similarity representation framework and explain how it is used to represent similarity measures and retrieval processes.
36#
發(fā)表于 2025-3-27 17:52:55 | 只看該作者
Classification Based Retrieval Using Formal Concept AnalysisMoreover, it extracts dependence rules between the attributes describing the cases, that will be used to guide the query formulation process. In this paper we focus in classification based retrieval and the utility of Galois lattices as structures to classify and retrieve cases.
37#
發(fā)表于 2025-3-28 01:12:12 | 只看該作者
Ian Thompson,Margaret Kossut,Colin Blakemore. The projects initiated the rise of three SMEs that base their main business on CBR application development, employing together more than 100 people in 2001. This paper gives an overview of the main research results obtained in both projects and provides links to the most important publications of the consortium.
38#
發(fā)表于 2025-3-28 03:56:07 | 只看該作者
Carl A. Goresky,Harry L. Goldsmiths paper we review what has been achieved so far and research topics concerned with case-based image interpretation. We introduce a new approach for an image interpretation system and review its components.
39#
發(fā)表于 2025-3-28 06:47:40 | 只看該作者
40#
發(fā)表于 2025-3-28 11:26:29 | 只看該作者
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