Sathiya Keerthi Selvaraj

Cytowane przez

	Wszystkie	Od 2018
Cytowania	22623	6520
h-indeks	50	35
i10-indeks	97	61

1400

700

350

1050

19941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202375 92 100 133 115 126 170 182 254 290 396 496 603 784 867 1038 1128 1132 1157 1336 1397 1304 1274 1224 1215 1212 1179 1193 1051 670

Współautorzy

Shirish ShevadeIndian Institute of ScienceZweryfikowany adres z csa.iisc.ernet.in
Chong Jin OngAssociate Professor of Mechanical Engineering, National University of SingaporeZweryfikowany adres z nus.edu.sg
Elmer GilbertProfessor of EngineeringZweryfikowany adres z umich.edu
Wei Chu（褚崴）AlibabaZweryfikowany adres z gatsby.ucl.ac.uk
Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceZweryfikowany adres z csa.iisc.ernet.in
Olivier ChapelleGoogleZweryfikowany adres z chapelle.cc
Chih-Jen LinDistinguished professor, National Taiwan University and affiliated professor, MBZUAIZweryfikowany adres z csie.ntu.edu.tw
Radha Krishna Murthy KaruturiDirector of Research Data & Analytics-Center for Health Systems Research, Sutter HealthZweryfikowany adres z sutterhealth.org
Vikas SindhwaniRobotics at Google, New YorkZweryfikowany adres z google.com
Dhruv MahajanResearch Director, Facebook AI Research (FAIR)Zweryfikowany adres z fb.com
Dennis DeCosteAppleZweryfikowany adres z apple.com
Cho-Jui HsiehUniversity of California, Los AngelesZweryfikowany adres z cs.ucla.edu
Kai-Wei ChangAssociate Professor, UCLAZweryfikowany adres z kwchang.net
Johannes GehrkeMicrosoftZweryfikowany adres z microsoft.com
Balaraman RavindranProfessor of Computer Science, Indian Institute of Technology MadrasZweryfikowany adres z cse.iitm.ac.in
Pranjul YadavMachine Learning, GoogleZweryfikowany adres z google.com
Ruby Chiu-Hsing WengProfessor of Statistics, National Chengchi UniversityZweryfikowany adres z nccu.edu.tw
Heow Pueh LeeMechanical Engineering, National University of SingaporeZweryfikowany adres z nus.edu.sg
Magdalena BalazinskaUniversity of WashingtonZweryfikowany adres z cs.washington.edu
Khoa DoanBaidu Research USAZweryfikowany adres z baidu.com

Obserwuj

Sathiya Keerthi Selvaraj

Principal Staff Scientist @ LinkedIn, Mountain View

Zweryfikowany adres z linkedin.com - Strona główna

Optimization Machine Learning Learning with Structured Outputs Kernel Methods SVMs


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	2413	2001
Asymptotic behaviors of support vector machines with Gaussian kernel SS Keerthi, CJ Lin Neural computation 15 (7), 1667-1689, 2003	2309	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	1855	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	1212	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	1173	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	1108	1988
Which is the best multiclass SVM method? An empirical study KB Duan, SS Keerthi International workshop on multiple classifier systems, 278-285, 2005	907	2005
Evaluation of simple performance measures for tuning SVM hyperparameters K Duan, SS Keerthi, AN Poo Neurocomputing 51, 41-59, 2003	876	2003
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	710	2007
A simple and efficient algorithm for gene selection using sparse logistic regression SK Shevade, SS Keerthi Bioinformatics 19 (17), 2246-2253, 2003	565	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	553	2000
Optimization techniques for semi-supervised support vector machines. O Chapelle, V Sindhwani, SS Keerthi Journal of Machine Learning Research 9 (2), 2008	552	2008
Convergence of a generalized SMO algorithm for SVM classifier design SS Keerthi, EG Gilbert Machine Learning 46, 351-360, 2002	473	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	442	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	404	2005
New approaches to support vector ordinal regression W Chu, SS Keerthi Proceedings of the 22nd international conference on Machine learning, 145-152, 2005	380	2005
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	373	2006
Support vector ordinal regression W Chu, SS Keerthi Neural computation 19 (3), 792-815, 2007	363	2007
Efficient algorithms for ranking with SVMs O Chapelle, SS Keerthi Information retrieval 13, 201-215, 2010	330	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	325	1987

Nie można teraz wykonać tej operacji. Spróbuj ponownie później.

Prace 1–20

Cytowania rocznie

Powielone cytowania

Scalone cytowania

Dodaj współautorówWspółautorzy

Obserwuj

Cytowane przez

Współautorzy