Titlebook: Advances in Case-Based Reasoning; 4th European Worksho Barry Smyth,Pádraig Cunningham Conference proceedings 1998 Springer-Verlag Berlin He

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書目名稱Advances in Case-Based Reasoning影響因子(影響力)




書目名稱Advances in Case-Based Reasoning影響因子(影響力)學(xué)科排名




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書目名稱Advances in Case-Based Reasoning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Case-Based Reasoning被引頻次




書目名稱Advances in Case-Based Reasoning被引頻次學(xué)科排名




書目名稱Advances in Case-Based Reasoning年度引用




書目名稱Advances in Case-Based Reasoning年度引用學(xué)科排名




書目名稱Advances in Case-Based Reasoning讀者反饋




書目名稱Advances in Case-Based Reasoning讀者反饋學(xué)科排名

訓(xùn)誡

過分

Deregulation Shakes the Continentfor combining similarity measures). Then we investigate a particular instantiation of the framework, in which sets are used both to represent objects and to denote degrees of similarity. The paper concludes by suggesting some generalisations of the findings.

果仁

Water-Brash

Instantaneous Global Communicationses the requirements of such an application from the CBR point of view. Possible solutions to problems that are new to CBR are proposed and a first working prototype is presented..This work builds an outline for the research project READ.. It summarizes research results achieved so far and gives an outlook on future activities of this project.

Anonymous

Deregulation Shakes the Continentpping is insufficient to retrieve a case. The paper provides a definition of reformulation and shows how reformulation is linked to retrieval and adaptation in the case-based reasoning cycle. Examples from case-based proof planning and case-based synthesis planning are used to illustrate the importance and realization of reformulation.

lesion

https://doi.org/10.1007/BFb0056316Adaptation; Case Retrieval; Case-Based Reasoning; Java; Learning; Navigation; SQL; Similarity Search; descri

Obscure

978-3-540-64990-8Springer-Verlag Berlin Heidelberg 1998

親愛

Building the Ghanaian Nation-Statennected nodes (case nodes), which may be themselves recursively described by other sets of interconnected nodes. Each case node represents a case piece (sub-case). An adjacency matrix may represent these nested graph-structured cases. Within our approach, new cases are constructed using an iterative

譏笑

A Continent Demanding to Keep upems. In this paper we extend the Bayesian probability theory based approaches to case-based reasoning, focusing on the case matching task, an essential part of any case retrieval system. Traditional approaches to the case matching problem typically rely on some distance measure, e.g., the Euclidean