Title Support vector machines : theory and applications / Lipo Wang (ed.)

Published Berlin ; New York : Springer, ©2005

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Description 1 online resource (x, 431 pages) : figure (some color), table Series Studies in fuzziness and soft computing, 1434-9922 ; v. 177 Studies in fuzziness and soft computing ; v. 177. 1434-9922 Contents From the contents: Support Vector Machines -- An Introduction -- Multiple Model Estimation for Nonlinear Classification -- Componentwise Least Squares Support Vector Machines -- Active Support Vector Learning with Statistical Queries -- Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine -- Active-Set Methods for Support Vector Machines -- Theoretical and Practical Model Selection Methods for Support Vector Classifiers -- Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification -- Improving the Performance of the Support Vector Machine: Two Geometrical Scaling Methods -- An Accelerated Robust Support Vector Machine Algorithm -- Fuzzy Support Vector Machines with Automatic Membership Setting -- Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance -- Kernel Discriminant Learning with Application to Face Recognition -- Fast Color Texture-based Object Detection in Images: Application to License Plate Localization Summary "The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as noel algorithms and applications. "Support Vector Machines" provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in the respective fields."--Jacket Bibliography Includes bibliographical references and index Notes Print version record In Springer e-books Subject Machine learning. Data mining. Pattern recognition systems. Data Mining Pattern Recognition, Automated Machine Learning Data mining. Pattern recognition systems. Exploration de données (Informatique) Apprentissage automatique. Reconnaissance des formes (informatique) . Machine learning. Ingénierie. Data mining Machine learning Pattern recognition systems Form Electronic book Author Wang, Lipo LC no. 2005921894 ISBN 9783540323846 3540323848 9783540243885 3540243887

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