A smoothing trust-region Newton-CG method for minimax problem

Ye, Feng; Liu, Hongwei; Zhou, Shuisheng; Liu, Sanyang

Applied Mathematics and Computation, 2008, 199(2): 581-589.

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Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM

Zhang, Shengli^*; Ye, Feng; Yuan, Xiguo

Journal of Biomolecular Structure & Dynamics, 2012, 29(6): 634-642.

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Variant of Gaussian kernel and parameter setting method for nonlinear SVM

Zhou, Shui-Sheng; Liu, Hong-Wei; Ye, Feng

4th International Conference on Fuzzy Systems and Knowledge Discovery/3rd International Conference on Natural Computation, 2007-08-24 to 2007-08-27.

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Variant of Gaussian kernel and parameter setting method for nonlinear SVM

Shui-Sheng Zhou1; Hong-Wei Liu1; Feng Ye1

Neurocomputing, 72(13-15): 2931-7.

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A new iterative algorithm training SVM

Zhou, Shuisheng; Liu, Hongwei; Ye, Feng; Zhou, Lihua

Optimization Methods and Software, 2009, 24(6): 913-932.

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Rank-two update algorithms for the minimum volume enclosing ellipsoid problem

Cong, Wei-jie^*; Liu, Hong-wei; Ye, Feng; Zhou, Shui-sheng

Computational Optimization and Applications, 2012, 51(1): 241-257.

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Steepest Descent Algorithms in Optimization with Good Convergence Properties

Goh, B. S.; Ye, Feng; Zhou, Shuisheng

20th Chinese Control and Decision Conference, 2008-07-02 to 2008-07-04.

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The variant of Gaussian kernel and its model selection method

Zhou, Shui-Sheng; Liu, Hong-Wei; Ye, Feng

3rd International Conference on Natural Computation (ICNC 2007), 2007-08-24 to 2007-08-27.

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