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Titlebook: Rule Extraction from Support Vector Machines; Joachim Diederich (Honorary Professor) Book 2008 Springer-Verlag Berlin Heidelberg 2008 Supp

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Rule Extraction from SVM for Protein Structure Predictiontrong generalization ability of the SVM and the interpretation of the decision tree, one approach combines SVMs with decision trees into a new algorithm called SVM_DT. Another method combines SVMs with association rule (AR) based scheme called SVM_PCPAR. We also provide the method of rule aggregatio
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Book 2008introduces a number of different approaches to extracting rules from support vector machines developed by key researchers. In addition, successful applications are outlined and future research opportunities are discussed. The book is an important reference for researchers and graduate students, and
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Jieyue He,Hae-jin Hu,Bernard Chen,Phang C. Tai,Rob Harrison,Yi Pan
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David Martens,Johan Huysmans,Rudy Setiono,Jan Vanthienen,Bart Baesense [5–8]. Recurrent somatic mutations have been identified in AML, and the number of leukemia-associated genes is increasingly comprehensive [9, 10]. Henceforth, the WHO incorporated molecular alterations, in addition to the conventional methods for AML classification to establish clonality, identify
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adults. It is characterized by an impaired differentiation and aberrant clonal proliferation of immature myeloid precursors in the bone marrow that result in the accumulation of nonfunctional myeloblasts, impaired hematopoiesis, bone marrow failure, and peripheral blood cytopenias, thus increasing
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