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Titlebook: Case-Based Reasoning Research and Development; 23rd International C Eyke Hüllermeier,Mirjam Minor Conference proceedings 2015 Springer Inte

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书目名称Case-Based Reasoning Research and Development
副标题23rd International C
编辑Eyke Hüllermeier,Mirjam Minor
视频videohttp://file.papertrans.cn/223/222332/222332.mp4
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Case-Based Reasoning Research and Development; 23rd International C Eyke Hüllermeier,Mirjam Minor Conference proceedings 2015 Springer Inte
描述This book constitutes the refereed proceedings of the 23rd International Conference on Case-Based Reasoning Research and Development, ICCBR 2015, held in Frankfurt am Main, Germany, in September 2015..The 26 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide range of CBR topics that are of interest both to researchers and practitioners from foundations of Case-Based Reasoning; over CBR systems for specific tasks and related fields; up to CBR systems, applications and lessons learned in specific areas of expertise such as health; e-science; finance; energy, logistics, traffic; game/AI; cooking; diagnosis, technical support; as well as knowledge and experience management.
出版日期Conference proceedings 2015
关键词Artificial Intelligence; Case-Based Reasoning; Knowledge Representation; Information Retrieval; Similari
版次1
doihttps://doi.org/10.1007/978-3-319-24586-7
isbn_softcover978-3-319-24585-0
isbn_ebook978-3-319-24586-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
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Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case Contents,ng compression of the case base by selective—and possibly non-uniform—size reduction of individual cases. It proposes and evaluates an initial set of feature deletion strategies. Experimental results support that when cases have varying size and compressible contents, flexible feature deletion strat
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Omnidirectional Optical Filtersriment using Last.fm user data both show that the new hybrid recommender provides better quality recommendations than using only tags, together with a higher level of discovery of unknown and niche music. This approach of augmenting the representation for items that have missing information, with co
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Operative Strategy in General Surgeryts processing time remains reasonable for a case base of millions of cases. We suggest that increased use of big data methods in CBR has the potential for a departure from compression-based case-base maintenance methods, with their concomitant solution quality penalty, to enable the benefits of full
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https://doi.org/10.1007/978-1-4757-4172-8 We use an ontology to group together users with similar demographic and physiological information: sex, age and ethnic group. We evaluate our CBR approach with small and specialized case bases where pictures are semantically similar to the target population and demonstrate that it efficiently incre
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Operations for Benign Breast Diseasesng compression of the case base by selective—and possibly non-uniform—size reduction of individual cases. It proposes and evaluates an initial set of feature deletion strategies. Experimental results support that when cases have varying size and compressible contents, flexible feature deletion strat
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Particulate Measurement Methods in ., . is negative; in ., . is positive. Our proposed case-based approach for sentiment analysis assesses contextual polarity of individual aspects in the adaptation step leading to increased classification accuracy.
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