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Wu, Qiang
Tytuł
Cytowane przez
Cytowane przez
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Support vector machine soft margin classifiers: error analysis
DR Chen, Q Wu, Y Ying, DX Zhou
Journal of Machine Learning Research 5 (Sep), 1143-1175, 2004
3152004
Learning rates of least-square regularized regression
Q Wu, Y Ying, DX Zhou
Foundations of Computational Mathematics 6 (2), 171-192, 2006
2802006
SVM soft margin classifiers: linear programming versus quadratic programming
Q Wu, DX Zhou
Neural computation 17 (5), 1160-1187, 2005
2242005
Multi-kernel regularized classifiers
Q Wu, Y Ying, DX Zhou
Journal of Complexity 23 (1), 108-134, 2007
2132007
Analysis of Support Vector Machine Classification.
Q Wu, DX Zhou
Journal of Computational Analysis & Applications 8 (2), 2006
1512006
Least square regression with indefinite kernels and coefficient regularization
H Sun, Q Wu
Applied and Computational Harmonic Analysis 30 (1), 96-109, 2011
1232011
Learning with sample dependent hypothesis spaces
Q Wu, DX Zhou
Computers & Mathematics with Applications 56 (11), 2896-2907, 2008
1132008
Learning theory approach to minimum error entropy criterion
T Hu, J Fan, Q Wu, DX Zhou
Journal of Machine Learning Research 14 (Feb), 377-397, 2013
942013
Estimation of gradients and coordinate covariation in classification
S Mukherjee, Q Wu
Journal of Machine Learning Research 7 (Nov), 2481-2514, 2006
942006
Boundedness of commutators on Hardy type spaces
S Lu, Q Wu, D Yang
Science in China Series A: Mathematics 45 (8), 984-997, 2002
922002
Regularization schemes for minimum error entropy principle
T Hu, J Fan, Q Wu, DX Zhou
Analysis and Applications 13 (04), 437-455, 2015
822015
Characterizing the function space for Bayesian kernel models
NS Pillai, Q Wu, F Liang, S Mukherjee, RL Wolpert
Journal of Machine Learning Research 8 (Aug), 1769-1797, 2007
822007
Regularized least square regression with dependent samples
H Sun, Q Wu
Advances in Computational Mathematics 32 (2), 175-189, 2010
792010
Learning gradients on manifolds
S Mukherjee, Q Wu, DX Zhou
Bernoulli 16 (1), 181-207, 2010
682010
Localized sliced inverse regression
Q Wu, S Mukherjee, F Liang
Advances in neural information processing systems, 1785-1792, 2009
642009
Localized sliced inverse regression
Q Wu, S Mukherjee, F Liang
Advances in neural information processing systems, 1785-1792, 2009
642009
Application of integral operator for regularized least-square regression
H Sun, Q Wu
Mathematical and Computer Modelling 49 (1-2), 276-285, 2009
602009
Consistency analysis of an empirical minimum error entropy algorithm
J Fan, T Hu, Q Wu, DX Zhou
Applied and Computational Harmonic Analysis 41 (1), 164-189, 2016
562016
Learning theory of distributed regression with bias corrected regularization kernel network
ZC Guo, L Shi, Q Wu
The Journal of Machine Learning Research 18 (1), 4237-4261, 2017
512017
Learning gradients: predictive models that infer geometry and statistical dependence
Q Wu, J Guinney, M Maggioni, S Mukherjee
Journal of Machine Learning Research 11 (Aug), 2175-2198, 2010
502010
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