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Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 6th International Sy Van-Nam Huynh,Masahiro Inuiguchi,Thierry Denoeux Co

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书目名称Integrated Uncertainty in Knowledge Modelling and Decision Making
副标题6th International Sy
编辑Van-Nam Huynh,Masahiro Inuiguchi,Thierry Denoeux
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 6th International Sy Van-Nam Huynh,Masahiro Inuiguchi,Thierry Denoeux Co
描述This book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018..The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications..
出版日期Conference proceedings 2018
关键词semantics; commerce; machine learning; stock market; esitmation; probability; stock exchange; SVM; cluster a
版次1
doihttps://doi.org/10.1007/978-3-319-75429-1
isbn_softcover978-3-319-75428-4
isbn_ebook978-3-319-75429-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Estimation of Interval Probability Distribution in Categorical Data Using Maximum Entropybability distribution in the category data with unknown information using the maximum entropy in the framework of Dempster-Shafer theory. The proposed method can approximately generate the optimal interval probability distribution considering the unknown information. Two applications are used to illustrate the procedure of the proposed framework.
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978-3-319-75428-4Springer International Publishing AG, part of Springer Nature 2018
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Integrated Uncertainty in Knowledge Modelling and Decision Making978-3-319-75429-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/468672.jpg
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Conference proceedings 2018tial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications..
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