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S Sathiya Keerthi

Showing results (1-10 of 7) with videos related to

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Neural Computation|February 15, 2007
Support vector ordinal regressionWei Chu, S Sathiya Keerthi
Neural Computation|June 21, 2003
Asymptotic behaviors of support vector machines with Gaussian kernelS Sathiya Keerthi, Chih-Jen Lin
Neural Computation|December 1, 2006
Fast generalized cross-validation algorithm for sparse model learningS Sundararajan, Shirish Shevade, S Sathiya Keerthi
IEEE Transactions on Neural Networks|September 25, 2004
Bayesian support vector regression using a unified loss functionWei Chu, S Sathiya Keerthi, Chong Jin Ong
IEEE Transactions on Neural Networks|March 25, 2005
An improved conjugate gradient scheme to the solution of least squares SVMWei Chu, Chong Jin Ong, S Sathiya Keerthi
IEEE Transactions on Neural Networks|September 24, 2004
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernelsMartin M S Lee, S Sathiya Keerthi, Chong Jin Ong, et al.
Neural Computation|April 14, 2018
Distributed Newton Methods for Deep Neural NetworksChien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Neural Computation|February 15, 2007
Support vector ordinal regressionWei Chu, S Sathiya Keerthi
Neural Computation|June 21, 2003
Asymptotic behaviors of support vector machines with Gaussian kernelS Sathiya Keerthi, Chih-Jen Lin
Neural Computation|December 1, 2006
Fast generalized cross-validation algorithm for sparse model learningS Sundararajan, Shirish Shevade, S Sathiya Keerthi
IEEE Transactions on Neural Networks|September 25, 2004
Bayesian support vector regression using a unified loss functionWei Chu, S Sathiya Keerthi, Chong Jin Ong
IEEE Transactions on Neural Networks|March 25, 2005
An improved conjugate gradient scheme to the solution of least squares SVMWei Chu, Chong Jin Ong, S Sathiya Keerthi
IEEE Transactions on Neural Networks|September 24, 2004
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernelsMartin M S Lee, S Sathiya Keerthi, Chong Jin Ong, et al.
Neural Computation|April 14, 2018
Distributed Newton Methods for Deep Neural NetworksChien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, et al.
Pageof 1