{"product_id":"advances-in-proximal-kernel-classifiers-von-santanu-ghorai-anirban-mukherjee-und-pranab-k-dutta","title":"Advances in Proximal Kernel Classifiers","description":"\u003cp\u003eThe 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.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783659278365\"\u003e\u003ch3\u003eProximal Kernel Classifiers and its Application with MATLAB\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783659278365","offer_id":39486409343069,"sku":"9783659278365","price":79.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/8b41e09a-fca1-45e7-baf5-be7962d784e2.jpg?v=1774758928","url":"https:\/\/shop.autorenwelt.de\/en\/products\/advances-in-proximal-kernel-classifiers-von-santanu-ghorai-anirban-mukherjee-und-pranab-k-dutta","provider":"Autorenwelt Shop","version":"1.0","type":"link"}