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Results: 1-10 |
Results: 10

Authors: Keerthi, SS Gilbert, EG
Citation: Ss. Keerthi et Eg. Gilbert, Convergence of a generalized SMO algorithm for SVM classifier design, MACH LEARN, 46(1-3), 2002, pp. 351-360

Authors: Bhattacharyya, C Keerthi, SS
Citation: C. Bhattacharyya et Ss. Keerthi, Mean-field methods for a special class of Belief Networks, J ARTIF I R, 15, 2001, pp. 91-114

Authors: Sundararajan, S Keerthi, SS
Citation: S. Sundararajan et Ss. Keerthi, Predictive approaches for choosing hyperparameters in Gaussian processes, NEURAL COMP, 13(5), 2001, pp. 1103-1118

Authors: Keerthi, SS Shevade, SK Bhattacharyya, C Murthy, KRK
Citation: Ss. Keerthi et al., Improvements to Platt's SMO algorithm for SVM classifier design, NEURAL COMP, 13(3), 2001, pp. 637-649

Authors: Sridharan, K Keerthi, SS
Citation: K. Sridharan et Ss. Keerthi, Computation of a penetration measure between 3D convex polyhedral objects for collision detection, J ROBOTIC S, 18(11), 2001, pp. 623-631

Authors: Murthy, KRK Keerthi, SS Murty, MN
Citation: Krk. Murthy et al., Rule prepending and post-pruning approach to incremental learning of decision lists, PATT RECOG, 34(8), 2001, pp. 1697-1699

Authors: Babu, GP Murty, MN Keerthi, SS
Citation: Gp. Babu et al., A stochastic connectionist approach for global optimization with application to pattern clustering, IEEE SYST B, 30(1), 2000, pp. 10-24

Authors: Shevade, SK Keerthi, SS Bhattacharyya, C Murthy, KRK
Citation: Sk. Shevade et al., Improvements to the SMO algorithm for SVM regression, IEEE NEURAL, 11(5), 2000, pp. 1188-1193

Authors: Keerthi, SS Shevade, SK Bhattacharyya, C Murthy, KRK
Citation: Ss. Keerthi et al., A fast iterative nearest point algorithm for support vector machine classifier design, IEEE NEURAL, 11(1), 2000, pp. 124-136

Authors: Bhattacharyya, C Keerthi, SS
Citation: C. Bhattacharyya et Ss. Keerthi, Information geometry and Plefka's mean-field theory, J PHYS A, 33(7), 2000, pp. 1307-1312
Risultati: 1-10 |