Least squares twin support vector machines for pattern classification

Manoj Kumar; M. Gopal

doi:10.1016/j.eswa.2008.09.066

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Least squares twin support vector machines for pattern classification

Manoj Kumar M. Gopal

Year: 2008 Journal: Expert Systems with Applications Vol: 36 (4)Pages: 7535-7543 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2008.09.066

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Keywords:

Hyperplane Support vector machine Least squares support vector machine Binary classification Least-squares function approximation Kernel (algebra) Computer science Simple (philosophy) Binary number Mathematics Quadratic programming Nonlinear system Mathematical optimization Algorithm Artificial intelligence Combinatorics

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Least squares twin support vector machines for pattern classification

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