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Sathiya Keerthi Selvaraj
Sathiya Keerthi Selvaraj
Principal Staff Scientist @ LinkedIn, Mountain View
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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
25462001
Asymptotic behaviors of support vector machines with Gaussian kernel
SS Keerthi, CJ Lin
Neural computation 15 (7), 1667-1689, 2003
24182003
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
20351988
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
12952000
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
12302008
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
11261988
Which is the best multiclass SVM method? An empirical study
KB Duan, SS Keerthi
International workshop on multiple classifier systems, 278-285, 2005
9482005
Evaluation of simple performance measures for tuning SVM hyperparameters
K Duan, SS Keerthi, AN Poo
Neurocomputing 51, 41-59, 2003
9402003
Trust region Newton method for large-scale logistic regression.
CJ Lin, RC Weng, SS Keerthi
Journal of Machine Learning Research 9 (4), 2008
7442008
Optimization techniques for semi-supervised support vector machines.
O Chapelle, V Sindhwani, SS Keerthi
Journal of Machine Learning Research 9 (2), 2008
5932008
A simple and efficient algorithm for gene selection using sparse logistic regression
SK Shevade, SS Keerthi
Bioinformatics 19 (17), 2246-2253, 2003
5902003
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
5622000
Convergence of a generalized SMO algorithm for SVM classifier design
SS Keerthi, EG Gilbert
Machine Learning 46, 351-360, 2002
4892002
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms
SS Keerthi
IEEE Transactions on Neural Networks 13 (5), 1225-1229, 2002
4512002
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
4202005
New approaches to support vector ordinal regression
W Chu, SS Keerthi
Proceedings of the 22nd international conference on Machine learning, 145-152, 2005
3992005
Support vector ordinal regression
W Chu, SS Keerthi
Neural computation 19 (3), 792-815, 2007
3942007
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
3852006
Efficient algorithms for ranking with SVMs
O Chapelle, SS Keerthi
Information retrieval 13, 201-215, 2010
3442010
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
3351987
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