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Least squares twin support vector machines for pattern classification

โœ Scribed by M. Arun Kumar; M. Gopal


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
262 KB
Volume
36
Category
Article
ISSN
0957-4174

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Robustified least squares support vector
โœ Michiel Debruyne; Sven Serneels; Tim Verdonck ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 274 KB

## Abstract Support vector machine (SVM) algorithms are a popular class of techniques to perform classification. However, outliers in the data can result in bad global misclassification percentages. In this paper, we propose a method to identify such outliers in the SVM framework. A specific robust