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Titlebook: Successful Case-based Reasoning Applications; Stefania Montani,Lakhmi C. Jain Book 2010 Springer-Verlag Berlin Heidelberg 2010 Computation

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發(fā)表于 2025-3-21 18:19:02 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Successful Case-based Reasoning Applications
編輯Stefania Montani,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/882/881521/881521.mp4
概述Latest research using Based-Based Reasoning paradigms in healthcare.Surveys the use of advanced Cased-Based Reasoning Paradigms.State-of-the-Art book
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Successful Case-based Reasoning Applications;  Stefania Montani,Lakhmi C. Jain Book 2010 Springer-Verlag Berlin Heidelberg 2010 Computation
描述Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases.In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.
出版日期Book 2010
關(guān)鍵詞Computational Intelligence; Healthcare; Management; artificial intelligence; case-based reasoning; develo
版次1
doihttps://doi.org/10.1007/978-3-642-14078-5
isbn_softcover978-3-642-26434-4
isbn_ebook978-3-642-14078-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2010
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Mobyen Uddin Ahmed,Shahina Begum,Erik Olsson,Ning Xiong,Peter Funkscription seems very adequate. Statistical mechanics of Coulomb systems therefore usually refers to those investigations in which the Coulomb potential is explicitly considered as a part of the starting microscopic Hamiltonian. (Appropriate quantum statistics are always assumed).
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Book 2010 techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.
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,The Adaptation Problem in Medical Case–Based Reasoning Systems,n be rather simple. We do not only summarise our experiences with adaptation in medicine, but we want to elaborate typical medical adaptation problems and hope to indicate possibilities how to solve them.
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,Prototype–Based Classification in Unbalanced Biomedical Problems,ass, on unbalanced biomedical classification problems is evaluated in different settings of the case-base configuration. Comparison with other classification methods showed the effectiveness of such an approach to unbalanced classification problems and, hence, to medical diagnostic classification.
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1860-949X thods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.978-3-642-26434-4978-3-642-14078-5Series ISSN 1860-949X Series E-ISSN 1860-9503
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