Sathiya Selvaraj
Sathiya Selvaraj
Principal Research Scientist @ Microsoft, Mountain View
Verified email at microsoft.com - Homepage
TitleCited byYear
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
18912001
Asymptotic behaviors of support vector machines with Gaussian kernel
SS Keerthi, CJ Lin
Neural computation 15 (7), 1667-1689, 2003
18052003
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
14091988
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 (2), 265-293, 1988
9301988
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
9212000
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
8432008
Which is the best multiclass SVM method? An empirical study
KB Duan, SS Keerthi
International workshop on multiple classifier systems, 278-285, 2005
6992005
Evaluation of simple performance measures for tuning SVM hyperparameters
K Duan, SS Keerthi, AN Poo
Neurocomputing 51, 41-59, 2003
6662003
Trust region newton method for logistic regression
CJ Lin, RC Weng, SS Keerthi
Journal of Machine Learning Research 9 (Apr), 627-650, 2008
552*2008
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
4672000
A simple and efficient algorithm for gene selection using sparse logistic regression
SK Shevade, SS Keerthi
Bioinformatics 19 (17), 2246-2253, 2003
4142003
Optimization techniques for semi-supervised support vector machines
O Chapelle, V Sindhwani, SS Keerthi
Journal of Machine Learning Research 9 (Feb), 203-233, 2008
4082008
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms
SS Keerthi
IEEE Transactions on Neural Networks 13 (5), 1225-1229, 2002
3942002
Convergence of a generalized SMO algorithm for SVM classifier design
SS Keerthi, EG Gilbert
Machine Learning 46 (1-3), 351-360, 2002
3722002
Building support vector machines with reduced classifier complexity
SS Keerthi, O Chapelle, D DeCoste
Journal of Machine Learning Research 7 (Jul), 1493-1515, 2006
3222006
A modified finite Newton method for fast solution of large scale linear SVMs
SS Keerthi, D DeCoste
Journal of Machine Learning Research 6 (Mar), 341-361, 2005
3102005
New approaches to support vector ordinal regression
W Chu, SS Keerthi
Proceedings of the 22nd international conference on Machine learning, 145-152, 2005
3072005
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
2831987
Large scale semi-supervised linear SVMs
V Sindhwani, SS Keerthi
Proceedings of the 29th annual international ACM SIGIR conference on …, 2006
2712006
Efficient algorithms for ranking with SVMs
O Chapelle, SS Keerthi
Information retrieval 13 (3), 201-215, 2010
2652010
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