Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)

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Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)

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Book 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.

Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing),Lipo Wang,Springer,3540243887,Applied,Artificial Intelligence - General,Computer Vision,Mathematics,Science/Mathematics,Bioinformatics,Data Mining,Kernel Machines,Mathematics / Applied,Pattern Recognition,Soft Computing,Statistical Learning

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