Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives |
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| Authors: | Jayadeva |
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| Affiliation: | a IBM India Research Lab, Block - C, Institutional Area Vasant Kunj, New Delhi 110 070, India
b Department of Mathematics, Indian Institute of Technology, Hauz Khas, New Delhi 110 016, India |
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| Abstract: | In this paper, we propose a regularized least squares approach based support vector machine for simultaneously approximating a function and its derivatives. The proposed algorithm is simple and fast as no quadratic programming solver needs to be employed. Effectively, only the solution of a structured system of linear equations is needed. |
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| Keywords: | Support vector machines Regularized least squares Machine learning Function approximation |
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