Author: Naiyang Deng
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 143985792X
Category: Programming
List Price: $ 89.95
Price: $ 66.28
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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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. Programming books Support Vector Machines pdf. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. The authors share insight on many of their research achievements. They give a precise interpretation of statistical leaning theory for C-support vector classification. They also discuss regularized twin SVMs for binary classification problems, SVMs for solving multi-classification problems based on ordinal regression, SVMs for semi-supervised problems, and SVMs for problems with perturbations. Download books Support Vector Machines for Antenna Array Processing and Electromagnetics pdf via mediafire, 4shared, rapidshare.
Price comparison for Support Vector Machines
Price: $149
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. The authors present the basic ideas of SVMs together with the latest developments and current research questions in a unified style. They identify three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and their computational efficiency compared to several other methods.
The book provides a unique in-depth treatmen
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. The authors present the basic ideas of SVMs together with the latest developments and current research questions in a unified style. They identify three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and their computational efficiency compared to several other methods.
The book provides a unique in-depth treatmen
Price: $3.9
Support Vector Machines for Antenna Array Processing and Electromagnetics
Support Vector Machines for Antenna Array Processing and Electromagnetics
Price: $1
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition) - Shigeo Abe
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition) - Shigeo Abe
Price: $213.1
Categories: Text processing (Computer science), Support vector machines. Contributors: Thorsten Joachims - Author. Format: Hardcover
Categories: Text processing (Computer science), Support vector machines. Contributors: Thorsten Joachims - Author. Format: Hardcover
Price: $3.9
Review From the Review s: "This broad and deep òÀæ book is organized around the highly significant concept of pattern recognition by support vector machines (SVMs). òÀæ The book is praxis and application oriented but with strong theoretical backing and support. Many òÀæ details are presented and discussed, thereby making the SVM both an easy-to-understand learning machine and a more likable data modeling (mining) tool. Shigeo Abe has produced the book that will become the standard òÀæ . I like it and therefore highly recommend this book òÀæ ." (Vojislav Kecman, SIAM Review , Vol
Review From the Review s: "This broad and deep òÀæ book is organized around the highly significant concept of pattern recognition by support vector machines (SVMs). òÀæ The book is praxis and application oriented but with strong theoretical backing and support. Many òÀæ details are presented and discussed, thereby making the SVM both an easy-to-understand learning machine and a more likable data modeling (mining) tool. Shigeo Abe has produced the book that will become the standard òÀæ . I like it and therefore highly recommend this book òÀæ ." (Vojislav Kecman, SIAM Review , Vol
Download Support Vector Machines
The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. The authors share insight on many of their research achievements. They give a precise interpretation of statistical leaning theory for C-support vector classification. They also discuss regularized twin SVMs for binary classification problems, SVMs for solving multi-classification problems based on ordinal regression, SVMs for semi-supervised problems, and SVMs for problems with perturbations. To improve readability, concepts, methods, and results are introduced graphically and with clear explanations. For important concepts and algorithms, such as the Crammer-Singer SVM for multi-class classification problems, the text provides geometric interpretations that are not depicted in current literature. Enabling a sound understanding of SVMs, this book gives beginners as well as more experienced researchers and engineers the tools to solve real-world problems using SVMs. Download free Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) pdf
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