Author: Shigeo Abe
Edition: 1st Edition.
Publisher: Springer
Binding: Hardcover
ISBN: 1852339292
Category: Programming
List Price: $ 119.00
Price: $ 95.24
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Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)
Support vector machines (SVMs), were originally formulated for two-class classification problems, and have been accepted as a powerful tool for developing pattern classification and function approximations systems. Programming books Support Vector Machines for Pattern Classification pdf. This book provides a unique perspective of the state of the art in SVMs by taking the only approach that focuses on classification rather than covering the theoretical aspects. The book clarifies the characteristics of two-class SVMs through their extensive analysis, presents various useful architectures for multiclass classification and function approximation problems, and discusses kernel methods for improving generalization ability of conventional neural networks and fuzzy systems. Ample illustrations, examples and computer experiments are included to help readers understand the new ideas and their usefulness. This book supplies a comprehensive resource for the use of SVMs in pattern classification and will be invaluable reading for researchers, developers & students in academia and industry. Download books Support Vector Machines for Pattern Classification pdf via mediafire, 4shared, rapidshare.
Price comparison for Support Vector Machines for Pattern Classification
Price: $109
A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empir
A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empir
Price: $139
A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empir
A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empir
Price: $127.8
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition), ISBN-13: 9781849960977, ISBN-10: 1849960976
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition), ISBN-13: 9781849960977, ISBN-10: 1849960976
Price: $87
Support Vector Machines for Pattern Classification provides a comprehensive resource for the use of SVM s in pattern classification The subject area is particularly timely with research on kernel methods increasing rapidly this book is unique in its focus on classification methods The characteristic SVM s are discussed L1 SVMs and L2 SVMs lease squares SVMs and linear programming SVMs from both a theoretical and an experimental viewpoint SVMs were originally formulated for two class problems and an extension to multiclass systems which are essential for practical use is not unique However in i
Support Vector Machines for Pattern Classification provides a comprehensive resource for the use of SVM s in pattern classification The subject area is particularly timely with research on kernel methods increasing rapidly this book is unique in its focus on classification methods The characteristic SVM s are discussed L1 SVMs and L2 SVMs lease squares SVMs and linear programming SVMs from both a theoretical and an experimental viewpoint SVMs were originally formulated for two class problems and an extension to multiclass systems which are essential for practical use is not unique However in i
Price: $188.92
Store Search search Title, ISBN and Author Support Vector Machines for Pattern Classification by Shigeo Abe Estimated delivery 3-12 business days Format Hardcover Condition Brand New This guide on the use of SVMs in pattern classification includes a rigorous performance comparison of classifiers and regressors. The book takes the unique approach of focusing on classification rather than covering the theoretical aspects of SVMs. Publisher Description A guide on the use of SVMs in pattern classif
Store Search search Title, ISBN and Author Support Vector Machines for Pattern Classification by Shigeo Abe Estimated delivery 3-12 business days Format Hardcover Condition Brand New This guide on the use of SVMs in pattern classification includes a rigorous performance comparison of classifiers and regressors. The book takes the unique approach of focusing on classification rather than covering the theoretical aspects of SVMs. Publisher Description A guide on the use of SVMs in pattern classif
Download Support Vector Machines for Pattern Classification
This book provides a unique perspective of the state of the art in SVMs by taking the only approach that focuses on classification rather than covering the theoretical aspects. The book clarifies the characteristics of two-class SVMs through their extensive analysis, presents various useful architectures for multiclass classification and function approximation problems, and discusses kernel methods for improving generalization ability of conventional neural networks and fuzzy systems. Ample illustrations, examples and computer experiments are included to help readers understand the new ideas and their usefulness. This book supplies a comprehensive resource for the use of SVMs in pattern classification and will be invaluable reading for researchers, developers & students in academia and industry. Download free Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition) pdf
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