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Titlebook: Multiple Classifier Systems; 12th International W Friedhelm Schwenker,Fabio Roli,Josef Kittler Conference proceedings 2015 Springer Interna

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書(shū)目名稱Multiple Classifier Systems
副標(biāo)題12th International W
編輯Friedhelm Schwenker,Fabio Roli,Josef Kittler
視頻videohttp://file.papertrans.cn/641/640939/640939.mp4
概述Includes supplementary material:
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Multiple Classifier Systems; 12th International W Friedhelm Schwenker,Fabio Roli,Josef Kittler Conference proceedings 2015 Springer Interna
描述This book constitutes the refereed proceedings of the 12th International Workshop on Multiple Classifier Systems, MCS 2015, held in Günzburg, Germany, in June/July 2015. The 19 revised papers presented were carefully reviewed and selected from?25 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics. They are organized in topical sections on theory and algorithms and application and evaluation.
出版日期Conference proceedings 2015
關(guān)鍵詞Classification; Classifier ensembles; Classifier fusion; Clustering; Cost-sensitive; Decision tree; Ensemb
版次1
doihttps://doi.org/10.1007/978-3-319-20248-8
isbn_softcover978-3-319-20247-1
isbn_ebook978-3-319-20248-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Friedhelm Schwenker,Fabio Roli,Josef KittlerIncludes supplementary material:
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Conference proceedings 2015assifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics. They are organized in topical sections on theory and algorithms and application and evaluation.
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0302-9743 stems, MCS 2015, held in Günzburg, Germany, in June/July 2015. The 19 revised papers presented were carefully reviewed and selected from?25 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, dat
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0302-9743 a mining and statistics. They are organized in topical sections on theory and algorithms and application and evaluation.978-3-319-20247-1978-3-319-20248-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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