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S Sathiya Keerthi

rp01754

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Full Name
S Sathiya Keerthi
(not current staff)
Variants
Keerthi, S.
Sathiya Keerthi, S.
Keerthi, S.S.
 
Main Affiliation
 
Faculty
 
Email
mpessk@nus.edu.sg
 

Publications

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Type:  Article

Results 1-20 of 23 (Search time: 0.005 seconds).

Issue DateTitleAuthor(s)
1Jan-2000A fast iterative nearest point algorithm for support vector machine classifier designKeerthi, S.S. ; Shevade, S.K.; Bhattacharyya, C.; Murthy, K.R.K.
22003A machine learning approach for the duration of biomedical literatureShi, M. ; Edwin, D.S.; Menon, R. ; Shen, L. ; Lim, J.Y.K.; Loh, H.T. ; Keerthi, S.S. ; Ong, C.J. 
322-Nov-2003A simple and efficient algorithm for gene selection using sparse logistic regressionShevade, S.K.; Keerthi, S.S. 
4Feb-2000A stochastic connectionist approach for global optimization with application to pattern clusteringBabu, G.P.; Murty, M.N.; Keerthi, S.S. 
5May-2004An efficient method for computing leave-one-out error in support vector machines with Gaussian kernelsLee, M.M.S.; Keerthi, S.S. ; Ong, C.J. ; DeCoste, D.
6Jul-2003Asymptotic behaviors of support vector machines with gaussian kernelKeerthi, S.S. ; Lin, C.-J.
7Jan-2004Bayesian support vector regression using a unified loss functionChu, W.; Keerthi, S.S. ; Ong, C.J. 
8Sep-2003Bayesian trigonometric support vector classifierChu, W.; Keerthi, S.S. ; Ong, C.J. 
9Nov-2001Computation of a penetration measure between 3D convex polyhedral objects for collision detectionSridharan, K.; Keerthi, S.S. 
10Jan-2002Convergence of a generalized SMO algorithm for SVM classifier designKeerthi, S.S. ; Gilbert, E.G.
11Dec-2006Developing parallel sequential minimal optimization for fast training support vector machineCao, L.J.; Keerthi, S.S. ; Ong, C.J. ; Uvaraj, P.; Fu, X.J.; Lee, H.P.
12Sep-2002Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithmsKeerthi, S.S. 
13Apr-2003Evaluation of simple performance measures for tuning SVM hyperparametersDuan, K.; Keerthi, S.S. ; Poo, A.N. 
14Mar-2001Improvements to Platt's SMO algorithm for SVM classifier designKeerthi, S.S. ; Shevade, S.K.; Bhattacharyya, C.; Murthy, K.R.K.
15Sep-2000Improvements to the SMO algorithm for SVM regressionShevade, S.K.; Keerthi, S.S. ; Bhattacharyya, C.; Murthy, K.R.K.
1625-Feb-2000Information geometry and Plefka's mean-field theoryBhattacharyya, C.; Keerthi, S.S. 
17Jul-2001Mean-field methods for a special class of belief networksBhattacharyya, C.; Keerthi, S.S. 
182003Multi-category classification by soft-max combination of binary classifiersDuan, K.; Keerthi, S.S. ; Chu, W.; Shevade, S.K.; Poo, A.N. 
19Jul-2006Parallel sequential minimal optimization for the training of support vector machinesCao, L.J.; Keerthi, S.S. ; Ong, C.-J. ; Zhang, J.Q.; Periyathamby, U.; Fu, X.J.; Lee, H.P.
20May-2001Predictive approaches for choosing hyperparameters in gaussian processesSundararajan, S.; Keerthi, S.S.