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Hooke and Jeeves algorithm for linear support vector machine
Authors:Yeqing Liu  Sanyang Liu  Mingtao Gu
Affiliation:1. Department of Mathematical Sciences, Xidian University, Xi'an 710071, P. R. China;School of Science, Henan University of Science & Technology, Luoyang 471003, P. R. China
2. Department of Mathematical Sciences, Xidian University, Xi'an 710071, P. R. China
3. PLA Unit 96251, Luoyang 471003, P. R. China
Abstract:Coordinate descent method is a unconstrained optimization technique. When it is applied to support vector machine (SVM), at each step the method updates one component of w by solving a one-variable sub-problem while fixing other components. All components of w update after one iteration. Then go to next iteration. Though the method converges and converges fast in the beginning, it converges slow for final convergence. To improve the speed of final convergence of coordinate descent method, Hooke and Jeeves a...
Keywords:support vector machine  classification  pattern search  Hooke and Jeeves  coordinate descent  global Newton algorithm
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