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Support Vector Machines for Pattern Classification [electronic resource] /by Shigeo Abe.

by Abe, Shigeo [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Advances in Pattern Recognition: Publisher: London : Springer London, 2005.Description: XIV, 343p. 110 illus. online resource.ISBN: 9781846282195.Subject(s): Computer science | Artificial intelligence | Text processing (Computer science | Optical pattern recognition | Computer Science | Pattern Recognition | Document Preparation and Text Processing | Artificial Intelligence (incl. Robotics) | Control EngineeringDDC classification: 006.4 Online resources: Click here to access online
Contents:
Two-Class Support Vector Machines -- Multiclass Support Vector Machines -- Variants of Support Vector Machines -- Training Methods -- Feature Selection and Extraction -- Clustering -- Kernel-Based Methods -- Maximum-Margin Multilayer Neural Networks -- Maximum-Margin Fuzzy Classifiers -- Function Approximation.
In: Springer eBooks
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Two-Class Support Vector Machines -- Multiclass Support Vector Machines -- Variants of Support Vector Machines -- Training Methods -- Feature Selection and Extraction -- Clustering -- Kernel-Based Methods -- Maximum-Margin Multilayer Neural Networks -- Maximum-Margin Fuzzy Classifiers -- Function Approximation.

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