先锋派
发表于 2025-3-26 21:17:05
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biopsy
发表于 2025-3-27 02:12:43
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.
Pigeon
发表于 2025-3-27 09:20:42
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.
因无茶而冷淡
发表于 2025-3-27 12:40:41
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.
贫穷地活
发表于 2025-3-27 17:27:59
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.
osculate
发表于 2025-3-27 17:52:55
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.
致敬
发表于 2025-3-28 01:12:12
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.
厚脸皮
发表于 2025-3-28 03:56:07
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.
Commemorate
发表于 2025-3-28 06:47:40
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fixed-joint
发表于 2025-3-28 11:26:29
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