Ding-Xuan Zhou

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)

Coauthor Index

1	Geoff Boyd	[2]
2	Di-Rong Chen	[7]
3	Hoi Ling Cheung	[4]
4	Felipe Cucker	[8]
5	Kurt Jetter	[13]
6	Rong-Qing Jia	[1]
7	Charles A. Micchelli	[2]
8	Sayan Mukherjee	[10]
9	Zhi-Wei Pan	[16]
10	Gerlind Plonka	[5]
11	Sherman D. Riemenschneider	[1]
12	Steve Smale	[8]
13	Gilbert Strang	[2]
14	Canqin Tang	[4]
15	Qiang Wu	[7] [9] [12] [15]
16	Dao-Hong Xiang	[16]
17	Quan-Wu Xiao	[16]
18	Gui-Bo Ye	[17]
19	Yiming Ying	[7] [11] [12] [14] [15]

Colors in the list of coauthors