Machine Learning with SVM and Other Kernal Methods

Author:   K. P. Soman ,  R. Loganathan
Publisher:   Prentice-Hall of India Pvt.Ltd
ISBN:  

9788120334359


Pages:   474
Publication Date:   30 August 2009
Format:   Paperback
Availability:   In Print   Availability explained
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Machine Learning with SVM and Other Kernal Methods


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Author:   K. P. Soman ,  R. Loganathan
Publisher:   Prentice-Hall of India Pvt.Ltd
Imprint:   Prentice-Hall of India Pvt.Ltd
ISBN:  

9788120334359


ISBN 10:   8120334353
Pages:   474
Publication Date:   30 August 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface; 1. Machine Learning with Support Vector Machines; 2. Supervised Automatic Learning: A Probabilistic Framework; 3. Essential Mathematical Background; 4. Kernel Methods and the Evolution of SVM; 5. Support Vector Regression; 6. Simple Variants of SVM: Mangasarian's Approaches; 7. Sequential Minimisation Algorithms; 8. One Class SVM; 9. Multi-class and Hierarchical Support Vector Machines; 10. String Kernels. 11. Kernel-based Methods for Clustering Data; 12. Data Sets; 13. Other Kernel Methods K-PCA, K-CCA, K-PLS, K-ICA; 14. Kernel Methods for Text Categorisation; 15. Kernel Methods for Speech Recognition; 16. Kernel Methods in Natural Language Processing: An Introduction; Appendix; Index.

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Author Information

K.P. SOMAN (M.Tech and Ph.D., IIT Kharagpur) is Head, Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore. He has published/presented over 80 papers in international journals and conferences. He has executed several funded projects for organizations/institutions like Indian Space Research Organization (ISRO), Naval Physical and Oceanographic Laboratory (NPOL), Cochin, Aeronautical Development Establishment (ADE) Bangalore and Ministry of Communication and Information Technology. His areas of interest include high performance computing, Machine learning, wavelet transform, fractal analysis and cryptography. Dr. Soman has authored two books-Insight into Wavelets: From Theory to Practice, and Insight into Data Mining: Theory and Practice-both published by PHI Learning, New Delhi. R. LOGANATHAN [B.E., M.S. (by Research)] is Research Associate, Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore. His areas of interest are machine learning applications to natural language processing, computational linguistics and machine translation. V. AJAY (B.E., M.Tech) is Research Scholar, Department of Mechanical Engineering, Purdue University, USA. He has co-authored the book Insight into Data Mining: Theory and Practice-published by PHI Learning. His areas of interest include nano-material simulation, computational linear algebra and optimization.

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