尊重
发表于 2025-3-23 12:48:26
Constraint-Based Modeling of Case-Based Inference,arity of associated outcomes in the form of a lower bound. A related inference mechanism then allows for realizing CBI as a kind of constraint propagation. We also discuss representational issues and algorithms for putting the idea of . within this framework into action. The chapter is organized as
小口啜饮
发表于 2025-3-23 16:06:46
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ABOUT
发表于 2025-3-23 19:24:46
Conclusions and Outlook,ved cases (a case base consisting of input-output tuples) in order to predict a set of promising candidate outputs given a new query input. The corresponding inference schemes are based on suitable formalizations of the heuristic assumption that similar inputs yield similar outputs. Proceeding from
TERRA
发表于 2025-3-23 22:17:14
A Framework for Ontology Learningarity of associated outcomes in the form of a lower bound. A related inference mechanism then allows for realizing CBI as a kind of constraint propagation. We also discuss representational issues and algorithms for putting the idea of . within this framework into action. The chapter is organized as
失望未来
发表于 2025-3-24 04:13:39
Ontology — Definition & Overviewing has been pointed out recently . Besides, some attempts at combining case-based reasoning (or, more generally, analogical reasoning) and methods from fuzzy set theory have already been made , including the use of fuzzy sets for supporting the computation of similarities of situation
Initiative
发表于 2025-3-24 09:14:06
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出来
发表于 2025-3-24 12:47:08
Eyke HüllermeierMajor contribution to the methodical foundations of case-based reasoning.Builds bridges between the fields of CBR and approximate reaoning.First monograph of this type
Longitude
发表于 2025-3-24 15:48:44
Theory and Decision Library Bhttp://image.papertrans.cn/c/image/222308.jpg
有危险
发表于 2025-3-24 22:29:56
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收养
发表于 2025-3-25 01:24:03
https://doi.org/10.1007/978-1-4615-0925-7This chapter serves two purposes. Firstly, we provide some background information on similarity-based reasoning and related topics. Secondly, we introduce a formal framework of . (CBI) that provides the basis for the methods which are developed in subsequent chapters.