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Support Vector Machines /

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs...

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Bibliographic Details
Main Authors: Deng, Naiyang (Author), Tian, Yingjie (Author), Zhang, Chunhua (Author)
Corporate Authors: Taylor & Francis, Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Chapman and Hall/CRC, 2012.
Edition:1st edition.
Subjects:
Mathematical optimization.
Support vector machines.
Machines à vecteurs supports.
Optimisation mathématique.
Mathematical optimization
Support vector machines
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which.
Physical Description:1 online resource (363 pages)