متابعة
Sathiya Keerthi Selvaraj
Sathiya Keerthi Selvaraj
Principal Staff Scientist @ LinkedIn, Mountain View
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
24202003
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
20371988
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
12942000
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
11271988
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
7452008
Optimization techniques for semi-supervised support vector machines.‏
O Chapelle, V Sindhwani, SS Keerthi‏
Journal of Machine Learning Research 9 (2), 2008‏
5942008
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
5612000
Convergence of a generalized SMO algorithm for SVM classifier design‏
SS Keerthi, EG Gilbert‏
Machine Learning 46, 351-360, 2002‏
4882002
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms‏
SS Keerthi‏
IEEE Transactions on Neural Networks 13 (5), 1225-1229, 2002‏
4502002
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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مقالات 1–20