Browsing by Author S SATHIYA KEERTHI

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Showing results 18 to 29 of 29 < previous 
Issue DateTitleAuthor(s)
Jul-2001Mean-field methods for a special class of belief networksBhattacharyya, C.; Keerthi, S.S. 
2003Multi-category classification by soft-max combination of binary classifiersDuan, K.; Keerthi, S.S. ; Chu, W.; Shevade, S.K.; Poo, A.N. 
2004On the effectiveness of latent semantic analysis for the categorization of call centre recordsMenon, R.; Keerthi, S.S. ; Loh, H.T. ; Brombacher, A.C.
Jul-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.
May-2001Predictive approaches for choosing hyperparameters in gaussian processesSundararajan, S.; Keerthi, S.S. 
2000Predictive approaches for choosing hyperparametrs in Gaussian ProcessesSundararajan, S.; Sathiya Keerthi, S. 
2002Reference governor control of constrained feedback systems using neural networksJahagirdar, H.; Keerthi, S.S. ; Ang Jr., M.H. 
Aug-2001Rule prepending and post-pruning approach to incremental learning of decision listsMurthy, K.R.K.; Keerthi, S.S. ; Murty, M.N.
2003SMO Algorithm for Least Squares SVMKeerthi, S.S. ; Shevade, S.K.
Feb-2003SMO algorithm for least-squares SVM formulationsKeerthi, S.S. ; Shevade, S.K.
Sep-2003Special issue on support vector machinesCampbell, C.; Lin, C.-J.; Keerthi, S.S. ; Sanchez, V.D.A.
Mar-2003Thermal error measurement and modelling in machine tools. Part II. Hybrid Bayesian Network - Support vector machine modelRamesh, R.; Mannan, M.A. ; Poo, A.N. ; Keerthi, S.S.