Machine Learning with SVM and Other Kernel Methods true
By:K.P. Soman,R. LOGANATHAN,V. AJAY
Published on 2009-02-02 by PHI Learning Pvt. Ltd.
Support vector machines (SVMs) represent a breakthrough in the theory of learning systems. It is a new generation of learning algorithms based on recent advances in statistical learning theory. Designed for the undergraduate students of computer science and engineering, this book provides a comprehensive introduction to the state-of-the-art algorithm and techniques in this field. It covers most of the well known algorithms supplemented with code and data. One Class, Multiclass and hierarchical SVMs are included which will help the students to solve any pattern classification problems with ease and that too in Excel. KEY FEATURES Extensive coverage of Lagrangian duality and iterative methods for optimization Separate chapters on kernel based spectral clustering, text mining, and other applications in computational linguistics and speech processing A chapter on latest sequential minimization algorithms and its modifications to do online learning Step-by-step method of solving the SVM based classification problem in Excel. Kernel versions of PCA, CCA and ICA The CD accompanying the book includes animations on solving SVM training problem in Microsoft EXCEL and by using SVMLight software . In addition, Matlab codes are given for all the formulations of SVM along with the data sets mentioned in the exercise section of each chapter.
This Book was ranked at 10 by Google Books for keyword Machine Learning.
Book ID of Machine Learning with SVM and Other Kernel Methods's Books is -2evxOIz-d4C, Book which was written byK.P. Soman,R. LOGANATHAN,V. AJAYhave ETAG "4Wl9fDEjwaA"
Book which was published by PHI Learning Pvt. Ltd. since 2009-02-02 have ISBNs, ISBN 13 Code is 9788120334359 and ISBN 10 Code is 8120334353
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Book which have "486 Pages" is Printed at BOOK under CategoryComputers
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Machine Learning with SVM and Other Kernel Methods -K.P. Soman,R. LOGANATHAN,V. AJAY- 9788120334359
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