 | 2009 |
| 13 |  | Yuhong Guo,
Dale Schuurmans:
A Reformulation of Support Vector Machines for General Confidence Functions.
ACML 2009: 109-119 |
| 12 |  | Yuhong Guo:
Max-margin Multiple-Instance Learning via Semidefinite Programming.
ACML 2009: 98-108 |
| 2008 |
| 11 |  | Yuhong Guo:
Supervised Exponential Family Principal Component Analysis via Convex Optimization.
NIPS 2008: 569-576 |
| 2007 |
| 10 |  | Yuhong Guo,
Russell Greiner:
Optimistic Active-Learning Using Mutual Information.
IJCAI 2007: 823-829 |
| 9 |  | Yuhong Guo,
Dale Schuurmans:
Convex Relaxations of Latent Variable Training.
NIPS 2007 |
| 8 |  | Yuhong Guo,
Dale Schuurmans:
Discriminative Batch Mode Active Learning.
NIPS 2007 |
| 7 |  | Yuhong Guo,
Dale Schuurmans:
Learning Gene Regulatory Networks via Globally Regularized Risk Minimization.
RECOMB-CG 2007: 83-95 |
| 2006 |
| 6 |  | Yuhong Guo,
Yunhai Tong,
Shiwei Tang,
Dongqing Yang:
A FP-Tree-Based Method for Inverse Frequent Set Mining.
BNCOD 2006: 152-163 |
| 5 |  | Yuhong Guo,
Shiwei Tang,
Yunhai Tong,
Dongqing Yang:
Triple-driven data modeling methodology in data warehousing: a case study.
DOLAP 2006: 59-66 |
| 4 |  | Yuhong Guo,
Dale Schuurmans:
Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering.
UAI 2006 |
| 2005 |
| 3 |  | Yuhong Guo,
Russell Greiner:
Discriminative Model Selection for Belief Net Structures.
AAAI 2005: 770-776 |
| 2 |  | Yuhong Guo,
Russell Greiner,
Dale Schuurmans:
Learning Coordination Classifiers.
IJCAI 2005: 714-721 |
| 1 |  | Yuhong Guo,
Dana F. Wilkinson,
Dale Schuurmans:
Maximum Margin Bayesian Networks.
UAI 2005: 233-242 |