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S SATHIYA KEERTHI
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Showing results 12 to 29 of 29
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Issue Date
Title
Author(s)
Sep-2002
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms
Keerthi, S.S.
Apr-2003
Evaluation of simple performance measures for tuning SVM hyperparameters
Duan, K.
;
Keerthi, S.S.
;
Poo, A.N.
2004
Extracting the knowledge embedded in support vector machines
Fu, X.
;
Ong, C.
;
Keerthi, S.
;
Hung, G.G.
;
Goh, L.
Mar-2001
Improvements to Platt's SMO algorithm for SVM classifier design
Keerthi, S.S.
;
Shevade, S.K.
;
Bhattacharyya, C.
;
Murthy, K.R.K.
Sep-2000
Improvements to the SMO algorithm for SVM regression
Shevade, S.K.
;
Keerthi, S.S.
;
Bhattacharyya, C.
;
Murthy, K.R.K.
25-Feb-2000
Information geometry and Plefka's mean-field theory
Bhattacharyya, C.
;
Keerthi, S.S.
Jul-2001
Mean-field methods for a special class of belief networks
Bhattacharyya, C.
;
Keerthi, S.S.
2003
Multi-category classification by soft-max combination of binary classifiers
Duan, K.
;
Keerthi, S.S.
;
Chu, W.
;
Shevade, S.K.
;
Poo, A.N.
2004
On the effectiveness of latent semantic analysis for the categorization of call centre records
Menon, R.
;
Keerthi, S.S.
;
Loh, H.T.
;
Brombacher, A.C.
Jul-2006
Parallel sequential minimal optimization for the training of support vector machines
Cao, L.J.
;
Keerthi, S.S.
;
Ong, C.-J.
;
Zhang, J.Q.
;
Periyathamby, U.
;
Fu, X.J.
;
Lee, H.P.
May-2001
Predictive approaches for choosing hyperparameters in gaussian processes
Sundararajan, S.
;
Keerthi, S.S.
2000
Predictive approaches for choosing hyperparametrs in Gaussian Processes
Sundararajan, S.
;
Sathiya Keerthi, S.
2002
Reference governor control of constrained feedback systems using neural networks
Jahagirdar, H.
;
Keerthi, S.S.
;
Ang Jr., M.H.
Aug-2001
Rule prepending and post-pruning approach to incremental learning of decision lists
Murthy, K.R.K.
;
Keerthi, S.S.
;
Murty, M.N.
2003
SMO Algorithm for Least Squares SVM
Keerthi, S.S.
;
Shevade, S.K.
Feb-2003
SMO algorithm for least-squares SVM formulations
Keerthi, S.S.
;
Shevade, S.K.
Sep-2003
Special issue on support vector machines
Campbell, C.
;
Lin, C.-J.
;
Keerthi, S.S.
;
Sanchez, V.D.A.
Mar-2003
Thermal error measurement and modelling in machine tools. Part II. Hybrid Bayesian Network - Support vector machine model
Ramesh, R.
;
Mannan, M.A.
;
Poo, A.N.
;
Keerthi, S.S.