Advances in Proximal Kernel Classifiers: Proximal Kernel Classifiers and its Application with MATLAB - Couverture souple

Ghorai, Santanu; Mukherjee, Anirban; Dutta, Pranab K.

9783659278365: Advances in Proximal Kernel Classifiers: Proximal Kernel Classifiers and its Application with MATLAB

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ISBN 10 : 365927836X ISBN 13 : 9783659278365

Editeur : LAP Lambert Academic Publishing, 2012

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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.

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� propos de l?auteur

Santanu Ghorai received the ME degree in electrical engineering from the Jadavpur University in 2000 and the PhD degree from the Indian Institute of Technology, Kharagpur, in 2011. Currently he is with the Heritage Institute of Technology, Kolkata. His principal research interests include signal processing, machine learning and bioinformatics.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2012
Langue: anglais
ISBN 10: 365927836X
ISBN 13: 9783659278365
Reliure: Broch�
Nombre de pages: 244
Coordonn�es du fabricant: non disponible
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Advances in Proximal Kernel Classifiers

Santanu Ghorai|Anirban Mukherjee|Pranab K. Dutta

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 365927836X ISBN 13 : 9783659278365

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ghorai SantanuSantanu Ghorai received the ME degree in electrical engineering from the Jadavpur University in 2000 and the PhD degree from the Indian Institute of Technology, Kharagpur, in 2011. Currently he is with the Heritage Inst. N� de r�f. du vendeur 5145199

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

Santanu Ghorai

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 365927836X ISBN 13 : 9783659278365

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Taschenbuch. Etat : Neu. 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. N� de r�f. du vendeur 9783659278365

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Advances in Proximal Kernel Classifiers

Santanu Ghorai

Edit� par LAP LAMBERT Academic Publishing Nov 2012, 2012

ISBN 10 : 365927836X ISBN 13 : 9783659278365

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch. N� de r�f. du vendeur 9783659278365

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Advances in Proximal Kernel Classifiers

Santanu Ghorai

Edit� par LAP LAMBERT Academic Publishing Nov 2012, 2012

ISBN 10 : 365927836X ISBN 13 : 9783659278365

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -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.Books on Demand GmbH, �berseering 33, 22297 Hamburg 244 pp. Englisch. N� de r�f. du vendeur 9783659278365

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