Support Vector Machines: Theory and Applications | EKB DL

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Support Vector Machines: Theory and Applications

Support Vector Machines: Theory and Applications

Description

The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel 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 their respective fields.

Keywords

ComputersComputer ScienceMathematicsIntelligence (AI) & SemanticsComputer Vision & Pattern RecognitionInformation TechnologyOptical Data Processing

2005Book

Author(s)Lipo Wang

PublisherSpringer Science & Business Media

ISBN9783540243885

LanguageEnglish

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