Advances in Proximal Kernel Classifiers : Proximal Kernel Classifiers and its Application with MATLAB

Language: English

Published by LAP LAMBERT Academic Publishing, 2012

365927836X / 9783659278365

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - The book describes the development and performance of proximal classifiers, a class of kernel-based regularized mean square error type classifier that learns within the penalized modeling paradigm. The name proximal classifier indicates the fact of classification of a test pattern by its proximity either to a hyperplane or to a class centroid. The basic idea of the nonparallel plane classifier is to model each class of data by fitting separate hyperplane through it. A computationally efficient binary Nonparallel Plane Proximal Classifier (NPPC) is described in detail along with its nonlinear extension. NPPC is also extended to classify multiclass data. A new approach of multiclass data classification through vector-valued regression technique by the proximity to a class centroid is described in detail. These classifiers are applied to discriminate cancerous tissue samples from gene microarray data. The book provides a complete literature survey in the field of Support Vector Machine (SVM). It includes mathematical models, detailed solution procedures and algorithms of the different proximal classifiers with hands-on examples and well-documented MATLAB programs.…

Seller Inventory # 9783659278365

Title
Advances in Proximal Kernel Classifiers : Proximal Kernel Classifiers and its Application with MATLAB
Author
Santanu Ghorai
Publisher
LAP LAMBERT Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
365927836X
ISBN 13
9783659278365
Item weight
381 grams
Dimensions
220x150x15 mm

AHA-BUCH GmbH

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