| Improvements to Platt's SMO algorithm for SVM classifier design SS Keerthi, SK Shevade, C Bhattacharyya, KRK Murthy Neural computation 13 (3), 637-649, 2001 | 2482 | 2001 |
| Asymptotic behaviors of support vector machines with Gaussian kernel SS Keerthi, CJ Lin Neural computation 15 (7), 1667-1689, 2003 | 2371 | 2003 |
| A fast procedure for computing the distance between complex objects in three-dimensional space EG Gilbert, DW Johnson, SS Keerthi IEEE Journal on Robotics and Automation 4 (2), 193-203, 1988 | 1941 | 1988 |
| Improvements to the SMO algorithm for SVM regression SK Shevade, SS Keerthi, C Bhattacharyya, KRK Murthy IEEE transactions on neural networks 11 (5), 1188-1193, 2000 | 1258 | 2000 |
| A dual coordinate descent method for large-scale linear SVM CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan Proceedings of the 25th international conference on Machine learning, 408-415, 2008 | 1202 | 2008 |
| Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations SS Keerthi, EG Gilbert Journal of optimization theory and applications 57, 265-293, 1988 | 1110 | 1988 |
| Which is the best multiclass SVM method? An empirical study KB Duan, SS Keerthi International workshop on multiple classifier systems, 278-285, 2005 | 922 | 2005 |
| Evaluation of simple performance measures for tuning SVM hyperparameters K Duan, SS Keerthi, AN Poo Neurocomputing 51, 41-59, 2003 | 912 | 2003 |
| Trust region Newton method for large-scale logistic regression. CJ Lin, RC Weng, SS Keerthi Journal of Machine Learning Research 9 (4), 2008 | 728 | 2008 |
| Optimization techniques for semi-supervised support vector machines. O Chapelle, V Sindhwani, SS Keerthi Journal of Machine Learning Research 9 (2), 2008 | 582 | 2008 |
| A simple and efficient algorithm for gene selection using sparse logistic regression SK Shevade, SS Keerthi Bioinformatics 19 (17), 2246-2253, 2003 | 578 | 2003 |
| A fast iterative nearest point algorithm for support vector machine classifier design SS Keerthi, SK Shevade, C Bhattacharyya, KRK Murthy IEEE transactions on neural networks 11 (1), 124-136, 2000 | 552 | 2000 |
| Convergence of a generalized SMO algorithm for SVM classifier design SS Keerthi, EG Gilbert Machine Learning 46, 351-360, 2002 | 481 | 2002 |
| Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms SS Keerthi IEEE Transactions on Neural Networks 13 (5), 1225-1229, 2002 | 445 | 2002 |
| A modified finite Newton method for fast solution of large scale linear SVMs. SS Keerthi, D DeCoste, T Joachims Journal of Machine Learning Research 6 (3), 2005 | 411 | 2005 |
| New approaches to support vector ordinal regression W Chu, SS Keerthi Proceedings of the 22nd international conference on Machine learning, 145-152, 2005 | 393 | 2005 |
| Support vector ordinal regression W Chu, SS Keerthi Neural computation 19 (3), 792-815, 2007 | 381 | 2007 |
| Building support vector machines with reduced classifier complexity. SS Keerthi, O Chapelle, D DeCoste, KP Bennett, E Parrado-Hernández Journal of Machine Learning Research 7 (7), 2006 | 378 | 2006 |
| Efficient algorithms for ranking with SVMs O Chapelle, SS Keerthi Information retrieval 13, 201-215, 2010 | 339 | 2010 |
| Computation of minimum-time feedback control laws for discrete-time systems with state-control constraints S Keerthi, E Gilbert IEEE Transactions on Automatic Control 32 (5), 432-435, 1987 | 329 | 1987 |
Shirish ShevadeIndian Institute of Science在 csa.iisc.ernet.in 的电子邮件经过验证
