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Support Vector Machines: Data Analysis, Machine Learning and Applications
Retail Price: $195.00
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$175.50
Editors: Brandon H. Boyle
Book Description:
This new book presents topical research in the study of support vector machines. Topics discussed include the support vector machine in medical imaging; monthly air pollution modeling using support vector machine techniques in Spain; support vector machines for image interpolation schemes in image zooming and color array interpolation; using SVM for the prediction of the ultimate capacity of driven piles in cohesionless soils; SVM in medical classification tasks and pattern recognition for machine fault diagnosis using support vector machines. (Imprint: Nova Press)

Table of Contents:
Preface

The Support Vector Machine in Medical Imaging
(Jacob E. D. Levman, Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada)pp.1-26

A SVM-Based Regression Model to Study the Air Quality in the Urban Area of the City of Oviedo (Spain)
(P.J. García Nieto, E.F. Combarro, J.J. del Coz Díaz, F.P. Álvarez Rabanal, E. Montañés, Department of Mathematics, University of Oviedo, Oviedo, Spain, and others)pp.27-50

Image Interpolation Using Support Vector Machines
(Liyong Ma, Yi Shen, Jiachen Ma, School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai, P. R. China)pp.51-66

Utilization of Support Vector Machine (SVM) for Prediction of Ultimate Capacity of Driven Piles in Cohesionless Soils
(Pijush Samui, S.K. Sekar, Centre for Disaster Mitigation and Management, VIT University, Vellore, India, and others)pp.67-80

Support Vector Machines in Medical Classification Tasks
(David Gil, Magnus Johnsson, Computing Technology and Data Processing, University of Alicante, Spain, and others)pp.81-102

Kernel Latent Semantic Analysis using Term Fusion Kernels ^
(Alberto Munoz, Javier Gonzalez, Javier Arriero, Carlos III University of Madrid, Spain)pp.103-116

SVR for Time Series Prediction ^
(M. Serdar Yumlu, Fikret S. Gurgen, Department of Computer Engineering, Bogazici University, Bebek, Istanbul, Turkey)pp.117-130

Application of Neural Networks and Support Vector Machines in Coding Theory and Practice
(Stevan M. Berber, Johnny Kao, The Department of Electrical and Computer Engineering, The University of Auckland)*pp.131-152

Pattern Recognition for Machine Fault Diagnosis using Support Vector Machines
(Bo-Suk Yang, Achmad Widodo, School of Mechanical Engineering, Pukyong National University, Busan, South Korea) *pp.153-196

Index pp.197-202

   Series:
      Computer Science, Technology and Applications
   Binding: Hardcover
   Pub. Date: 2011 4th Quarter
   Pages: 202.pp
   ISBN: 978-1-61209-342-0
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Support Vector Machines: Data Analysis, Machine Learning and Applications