A second-order cone programming formulation for twin support vector machines

Sebastián Maldonado; Julio López; Miguel Carrasco

doi:10.1007/s10489-016-0764-4

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A second-order cone programming formulation for twin support vector machines

Sebastián Maldonado Julio López Miguel Carrasco

Year: 2016 Journal: Applied Intelligence Vol: 45 (2)Pages: 265-276 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-016-0764-4

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Keywords:

Support vector machine Computer science Benchmark (surveying) Kernel (algebra) Second-order cone programming Artificial intelligence Extension (predicate logic) Least squares support vector machine Hyperplane Pattern recognition (psychology) Cone (formal languages) Kernel method Machine learning Algorithm Mathematics Convex optimization

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Advanced Optimization Algorithms Research

Physical Sciences → Mathematics → Numerical Analysis

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

A second-order cone programming formulation for twin support vector machines

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