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Sathiya Keerthi Selvaraj
Sathiya Keerthi Selvaraj
Principal Staff Scientist @ LinkedIn, Mountain View
Email verificata su linkedin.com - Home page
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Citata da
Citata da
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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
23822001
Asymptotic behaviors of support vector machines with Gaussian kernel
SS Keerthi, CJ Lin
Neural computation 15 (7), 1667-1689, 2003
22812003
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
18191988
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
11902000
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
11612008
Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations
SS Keerthi, EG Gilbert
Kluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation …, 1988
10921988
Which is the best multiclass SVM method? An empirical study
KB Duan, SS Keerthi
Multiple Classifier Systems: 6th International Workshop, MCS 2005, Seaside …, 2005
8612005
Evaluation of simple performance measures for tuning SVM hyperparameters
K Duan, SS Keerthi, AN Poo
Neurocomputing 51, 41-59, 2003
8532003
Trust region newton methods for large-scale logistic regression
CJ Lin, RC Weng, SS Keerthi
Proceedings of the 24th international conference on Machine learning, 561-568, 2007
7042007
A simple and efficient algorithm for gene selection using sparse logistic regression
SK Shevade, SS Keerthi
Bioinformatics 19 (17), 2246-2253, 2003
5552003
Optimization techniques for semi-supervised support vector machines.
O Chapelle, V Sindhwani, SS Keerthi
Journal of Machine Learning Research 9 (2), 2008
5512008
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
5502000
Convergence of a generalized SMO algorithm for SVM classifier design
SS Keerthi, EG Gilbert
Kluwer Academic Publishers; Springer Science+ Business Media, 2002
4622002
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms
SS Keerthi
IEEE Transactions on Neural Networks 13 (5), 1225-1229, 2002
4372002
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
4032005
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
3772006
New approaches to support vector ordinal regression
W Chu, SS Keerthi
Proceedings of the 22nd international conference on Machine learning, 145-152, 2005
3722005
Support vector ordinal regression
W Chu, SS Keerthi
Neural computation 19 (3), 792-815, 2007
3572007
Efficient algorithms for ranking with SVMs
O Chapelle, SS Keerthi
Information retrieval 13, 201-215, 2010
3302010
Large scale semi-supervised linear SVMs
V Sindhwani, SS Keerthi
Proceedings of the 29th annual international ACM SIGIR conference on …, 2006
3232006
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