Publication Search Results
Exact matches for:
- Author = Wu Q
1.
Hu T, Wu Q, Zhou DX
Ting Hu, Qiang Wu, Ding-Xuan Zhou:
Kernel gradient descent algorithm for information theoretic learning,
Journal of Approximation Theory,
263
(2021),
105518 (32 pages).
2.
Hu T, Wu Q, Zhou DX
Ting Hu, Qiang Wu, Ding-Xuan Zhou:
Distributed kernel gradient descent algorithm for minimum error entropy principle,
Applied and Computational Harmonic Analysis,
49
(2020),
229–256.
3.
Hu T, Wu Q, Zhou DX
Ting Hu, Qiang Wu, and Ding-Xuan Zhou:
Convergence of gradient descent for minimum error entropy principle in linear regression,
IEEE Transactions on Signal Processing,
64
(2016),
6571–6579.
MR3566620
4.
Fan J, Hu T, Wu Q, Zhou DX
Jun Fan, Ting Hu, Qiang Wu, Ding-Xuan Zhou:
Consistency analysis of an empirical minimum error entropy algorithm,
Applied and Computational Harmonic Analysis 41,
41
(2016),
164–189.
MR3501996
5.
Michelli CA, Pontil M, Wu Q, Zhou DX
Charles A Michelli, Massimiliano Pontil, Qiang Wu, Ding-Xuan Zhou:
Error bounds for learning the kernel,
Analysis and Applications,
14
(2016),
849–868.
MR3564937
6.
Hu T, Fan J, Wu Q, Zhou DX
Ting Hu, Jun Fan, Qiang Wu, Ding-Xuan Zhou:
Regularization schemes for minimum error entropy principle.,
Anal. Appl. (Singap.),
13
(2015),
no. 4,
#8211;455.
MR3340670
7.
Hu T, Fan J, Wu Q, Zhou DX
Ting Hu, Jun Fan, Qiang Wu, Ding-Xuan Zhou:
Learning theory approach to minimum error entropy criterion.,
J. Mach. Learn. Res.,
14
(2013),
377–397.
MR3033336
8.
Mukherjee S, Wu Q, Zhou DX
Sayan Mukherjee, Qiang Wu, Ding-Xuan Zhou:
Learning gradients on manifolds.,
Bernoulli,
16
(2010),
no. 1,
#8211;207.
MR2648754
9.
Wu Q, Zhou DX
Qiang Wu, Ding-Xuan Zhou:
Learning with sample dependent hypothesis spaces.,
Comput. Math. Appl.,
56
(2008),
no. 11,
–2907.
MR2467678
10.
Wu Q, Ying Y, Zhou DX
Qiang Wu, Yiming Ying, Ding-Xuan Zhou:
Multi-kernel regularized classifiers.,
J. Complexity,
23
(2007),
no. 1,
#8211;134.
MR2297018
11.
Wu Q, Ying Y, Zhou DX
Qiang Wu, Yiming Ying, Ding-Xuan Zhou:
Learning theory: from regression to classification,
Studies in omputational Mathematics1,
12
(2006),
257–290.
MR2410702
12.
Wu Q, Zhou DX
Qiang Wu, Ding-Xuan Zhou:
Analysis of support vector machine classification.,
J. Comput. Anal. Appl.,
8
(2006),
no. 2,
8211;119.
MR2225648
13.
Wu Q, Ying Y, Zhou DX
Qiang Wu, Yiming Ying, Ding-Xuan Zhou:
Learning rates of least-square regularized regression.,
Found. Comput. Math.,
6
(2006),
no. 2,
#8211;192.
MR2228738
14.
Wu Q, Zhou DX
Qiang Wu, Ding-Xuan Zhou:
SVM soft margin classifiers: linear programming versus quadratic programming.,
Neural Comput.,
17
(2005),
no. 5,
–1187.
MR2176072
15.
Chen DR, Wu Q, Ying Y, Zhou DX
Di-Rong Chen, Qiang Wu, Yiming Ying, Ding-Xuan Zhou:
Support vector machine soft margin classifiers: error analysis.,
J. Mach. Learn. Res.,
5
(2003),
1143–1175.
MR2248013
| Number of matches: 15 |