A Survey on Potential of the Support Vector Machines in Solving Classification and Regression Problems

A Survey on Potential of the Support Vector Machines in Solving Classification and Regression Problems

Kernel methods and support vector machines have become the most popular learning from examples paradigms. Several areas of application research make use of SVM approaches as for instance hand written character recognition, text categorization, face detection, pharmaceutical data analysis and drug de...

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Bibliographic Details
Main Authors:	Luminita STATE, Catalina COCIANU, Doina FUSARU
Format:	Article
Language:	English
Published:	Inforec Association 2010-01-01
Series:	Informatică economică
Subjects:	Support Vector Machines Kernel-Based Methods Supervised Learning Regression Classification
Online Access:	http://revistaie.ase.ro/content/55/2002%20-%20Catalina%20Cocianu,%20Luminita%20State.pdf

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