Support Vector Machines Applications (PDF)
(Sprache: Englisch)
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,...
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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.
Autoren-Porträt
Yunqian Ma is Senior Principal Research Scientist at Honeywell Labs. Guodong Guo is an Assistant Professor at West Virginia University.
Bibliographische Angaben
- 2014, 2014, 302 Seiten, Englisch
- Herausgegeben: Yunqian Ma, Guodong Guo
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319023004
- ISBN-13: 9783319023007
- Erscheinungsdatum: 12.02.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 8.17 MB
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- Vorlesefunktion
Sprache:
Englisch
Pressezitat
From the book reviews:“The book brings substantial contributions to the field of SVMs from both theoretical and practical points of view. The concepts and methods are presented in a clear and accessible way, and the illustrative examples and applications provide a valuable source of inspiration for similar developments. … This book is of considerable value to researchers in the fields of machine learning, data mining, and statistical pattern recognition.” (L. State, Computing Reviews, August, 2014)
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