 | 2009 |
|---|
| 11 |       | Yiming Ying,
Colin Campbell,
Theodoros Damoulas,
Mark A. Girolami:
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm.
PRIB 2009: 427-438 |
| 2008 |
|---|
| 10 | | Yiming Ying,
Colin Campbell:
Learning Coordinate Gradients with Multi-Task Kernels.
COLT 2008: 217-228 |
| 9 | | Theodoros Damoulas,
Yiming Ying,
Mark A. Girolami,
Colin Campbell:
Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins.
ICMLA 2008: 577-582 |
| 8 | | Yiming Ying,
Massimiliano Pontil:
Online Gradient Descent Learning Algorithms.
Foundations of Computational Mathematics 8(5): 561-596 (2008) |
| 2007 |
|---|
| 7 | | Andreas Argyriou,
Charles A. Micchelli,
Massimiliano Pontil,
Yiming Ying:
A Spectral Regularization Framework for Multi-Task Structure Learning.
NIPS 2007 |
| 6 | | Yiming Ying:
Convergence analysis of online algorithms.
Adv. Comput. Math. 27(3): 273-291 (2007) |
| 5 | | Qiang Wu,
Yiming Ying,
Ding-Xuan Zhou:
Multi-kernel regularized classifiers.
J. Complexity 23(1): 108-134 (2007) |
| 4 | | Yiming Ying,
Ding-Xuan Zhou:
Learnability of Gaussians with Flexible Variances.
Journal of Machine Learning Research 8: 249-276 (2007) |
| 2006 |
|---|
| 3 | | Qiang Wu,
Yiming Ying,
Ding-Xuan Zhou:
Learning Rates of Least-Square Regularized Regression.
Foundations of Computational Mathematics 6(2): 171-192 (2006) |
| 2 | | Yiming Ying,
Ding-Xuan Zhou:
Online Regularized Classification Algorithms.
IEEE Transactions on Information Theory 52(11): 4775-4788 (2006) |
| 2004 |
|---|
| 1 | | 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) |
