2008 |
17 | EE | Gui-Bo Ye,
Ding-Xuan Zhou:
Learning and approximation by Gaussians on Riemannian manifolds.
Adv. Comput. Math. 29(3): 291-310 (2008) |
16 | EE | Zhi-Wei Pan,
Dao-Hong Xiang,
Quan-Wu Xiao,
Ding-Xuan Zhou:
Parzen windows for multi-class classification.
J. Complexity 24(5-6): 606-618 (2008) |
2007 |
15 | EE | Qiang Wu,
Yiming Ying,
Ding-Xuan Zhou:
Multi-kernel regularized classifiers.
J. Complexity 23(1): 108-134 (2007) |
14 | EE | Yiming Ying,
Ding-Xuan Zhou:
Learnability of Gaussians with Flexible Variances.
Journal of Machine Learning Research 8: 249-276 (2007) |
2006 |
13 | EE | Ding-Xuan Zhou,
Kurt Jetter:
Approximation with polynomial kernels and SVM classifiers.
Adv. Comput. Math. 25(1-3): 323-344 (2006) |
12 | EE | Qiang Wu,
Yiming Ying,
Ding-Xuan Zhou:
Learning Rates of Least-Square Regularized Regression.
Foundations of Computational Mathematics 6(2): 171-192 (2006) |
11 | EE | Yiming Ying,
Ding-Xuan Zhou:
Online Regularized Classification Algorithms.
IEEE Transactions on Information Theory 52(11): 4775-4788 (2006) |
10 | EE | Sayan Mukherjee,
Ding-Xuan Zhou:
Learning Coordinate Covariances via Gradients.
Journal of Machine Learning Research 7: 519-549 (2006) |
2005 |
9 | EE | Qiang Wu,
Ding-Xuan Zhou:
SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming.
Neural Computation 17(5): 1160-1187 (2005) |
2004 |
8 | EE | Felipe Cucker,
Steve Smale,
Ding-Xuan Zhou:
Modeling Language Evolution.
Foundations of Computational Mathematics 4(3): 315-343 (2004) |
7 | EE | Di-Rong Chen,
Qiang Wu,
Yiming Ying,
Ding-Xuan Zhou:
Support Vector Machine Soft Margin Classifiers: Error Analysis.
Journal of Machine Learning Research 5: 1143-1175 (2004) |
2003 |
6 | | Ding-Xuan Zhou:
Capacity of reproducing kernel spaces in learning theory.
IEEE Transactions on Information Theory 49(7): 1743-1752 (2003) |
5 | EE | Gerlind Plonka,
Ding-Xuan Zhou:
Properties of locally linearly independent refinable function vectors.
Journal of Approximation Theory 122(1): 24-41 (2003) |
2002 |
4 | EE | Hoi Ling Cheung,
Canqin Tang,
Ding-Xuan Zhou:
Supports of Locally Linearly Independent M-Refinable Functions, Attractors of Iterated Function Systems and Tilings.
Adv. Comput. Math. 17(3): 257-268 (2002) |
3 | EE | Ding-Xuan Zhou:
The covering number in learning theory.
J. Complexity 18(3): 739-767 (2002) |
2001 |
2 | EE | Geoff Boyd,
Charles A. Micchelli,
Gilbert Strang,
Ding-Xuan Zhou:
Binomial Matrices.
Adv. Comput. Math. 14(4): 379-391 (2001) |
1998 |
1 | | Rong-Qing Jia,
Sherman D. Riemenschneider,
Ding-Xuan Zhou:
Vector subdivision schemes and multiple wavelets.
Math. Comput. 67(224): 1533-1563 (1998) |