 | 2009 |
| 9 |  | Priyanka Garg,
S. Sundararajan:
Active learning in partially supervised classification.
CIKM 2009: 1783-1786 |
| 8 |  | Amrish Patel,
S. Sundararajan,
Shirish Krishnaj Shevade:
Semi-Supervised Classification Using Sparse Gaussian Process Regression.
IJCAI 2009: 1193-1198 |
| 7 |  | Shirish Krishnaj Shevade,
S. Sundararajan:
Validation-Based Sparse Gaussian Process Classifier Design.
Neural Computation 21(7): 2082-2103 (2009) |
| 2008 |
| 6 |  | Cho-Jui Hsieh,
Kai-Wei Chang,
Chih-Jen Lin,
S. Sathiya Keerthi,
S. Sundararajan:
A dual coordinate descent method for large-scale linear SVM.
ICML 2008: 408-415 |
| 5 |  | S. Sathiya Keerthi,
S. Sundararajan,
Kai-Wei Chang,
Cho-Jui Hsieh,
Chih-Jen Lin:
A sequential dual method for large scale multi-class linear svms.
KDD 2008: 408-416 |
| 2007 |
| 4 |  | S. Sundararajan,
Shirish Krishnaj Shevade,
S. Sathiya Keerthi:
Fast Generalized Cross-Validation Algorithm for Sparse Model Learning.
Neural Computation 19(1): 283-301 (2007) |
| 2004 |
| 3 |  | Shirish Krishnaj Shevade,
S. Sundararajan,
S. Sathiya Keerthi:
Predictive Approaches for Sparse Model Learning.
ICONIP 2004: 434-439 |
| 2001 |
| 2 |  | S. Sundararajan,
S. Sathiya Keerthi:
Predictive Approaches for Choosing Hyperparameters in Gaussian Processes.
Neural Computation 13(5): 1103-1118 (2001) |
| 1999 |
| 1 |  | S. Sundararajan,
S. Sathiya Keerthi:
Predictive App roaches for Choosing Hyperparameters in Gaussian Processes.
NIPS 1999: 631-637 |