Support vector machines applications

Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine l...

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Detalles Bibliográficos
Autores principales: Ma, Yunqian, Guo, Guodong
Lenguaje:eng
Publicado: Springer 2014
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-02300-7
http://cds.cern.ch/record/1666174
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author Ma, Yunqian
Guo, Guodong
author_facet Ma, Yunqian
Guo, Guodong
author_sort Ma, Yunqian
collection CERN
description Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2014
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spelling cern-16661742021-04-21T21:16:09Zdoi:10.1007/978-3-319-02300-7http://cds.cern.ch/record/1666174engMa, YunqianGuo, GuodongSupport vector machines applicationsEngineeringSupport vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances.Springeroai:cds.cern.ch:16661742014
spellingShingle Engineering
Ma, Yunqian
Guo, Guodong
Support vector machines applications
title Support vector machines applications
title_full Support vector machines applications
title_fullStr Support vector machines applications
title_full_unstemmed Support vector machines applications
title_short Support vector machines applications
title_sort support vector machines applications
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-02300-7
http://cds.cern.ch/record/1666174
work_keys_str_mv AT mayunqian supportvectormachinesapplications
AT guoguodong supportvectormachinesapplications

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