"Advances in Pattern Recognition" is a book series that covers both theoretical and applied aspects of pattern recognition, providing texts for students and senior researchers. Springer also publishes a related journal, "Pattern Analysis and Applications." The series and journal are both edited by Professor Sameer Singh of Exeter University, UK. The book series includes various titles such as "Principles of Visual Information Retrieval," "Statistical and Neural Classifiers," and "Hexagonal Image Processing." The book "Support Vector Machines for Pattern Classification" discusses the application of support vector machines (SVMs) to pattern classification. It covers the properties of SVMs useful for pattern classification, several multiclass models, and variants of SVMs. The book compares the performance of most models using real-world benchmark data. It also introduces ideas from SVMs to non-SVM classifiers to improve their generalization ability. The book discusses two types of decision functions: direct and indirect. It covers the architecture of SVMs for two-class classification problems, including hard-margin and soft-margin SVMs. It also discusses multiclass SVMs, including one-against-all, pairwise, and all-at-once approaches. The book discusses various variants of SVMs, such as least squares SVMs, linear programming SVMs, and robust SVMs. The book also discusses training methods for SVMs, including preselecting support vector candidates and decomposing the optimization problem into two subproblems. It discusses feature selection and extraction, clustering, and kernel-based methods. The book also covers maximum-margin multilayer neural networks and maximum-margin fuzzy classifiers. The book concludes with a discussion on function approximation and compares the performance of SVMs with other function approximators. It also includes a list of references and an index. The book is edited by Professor Dr. Shigeo Abe of Kobe University and Professor Sameer Singh of Exeter University."Advances in Pattern Recognition" is a book series that covers both theoretical and applied aspects of pattern recognition, providing texts for students and senior researchers. Springer also publishes a related journal, "Pattern Analysis and Applications." The series and journal are both edited by Professor Sameer Singh of Exeter University, UK. The book series includes various titles such as "Principles of Visual Information Retrieval," "Statistical and Neural Classifiers," and "Hexagonal Image Processing." The book "Support Vector Machines for Pattern Classification" discusses the application of support vector machines (SVMs) to pattern classification. It covers the properties of SVMs useful for pattern classification, several multiclass models, and variants of SVMs. The book compares the performance of most models using real-world benchmark data. It also introduces ideas from SVMs to non-SVM classifiers to improve their generalization ability. The book discusses two types of decision functions: direct and indirect. It covers the architecture of SVMs for two-class classification problems, including hard-margin and soft-margin SVMs. It also discusses multiclass SVMs, including one-against-all, pairwise, and all-at-once approaches. The book discusses various variants of SVMs, such as least squares SVMs, linear programming SVMs, and robust SVMs. The book also discusses training methods for SVMs, including preselecting support vector candidates and decomposing the optimization problem into two subproblems. It discusses feature selection and extraction, clustering, and kernel-based methods. The book also covers maximum-margin multilayer neural networks and maximum-margin fuzzy classifiers. The book concludes with a discussion on function approximation and compares the performance of SVMs with other function approximators. It also includes a list of references and an index. The book is edited by Professor Dr. Shigeo Abe of Kobe University and Professor Sameer Singh of Exeter University.