Publications

Found 8 results

Filters: author is Chon  [Clear All Filters]
2006
Predicting Success from Music Sales Data: A Statistical and Adaptive Approach Chon, S.; Slaney, M.; Berger, J. , 10/2006, Santa Barbara, California, (2006)
Developing parallel sequential minimal optimization for fast training support vector machine. Cao, L.J.; Keerthi, S.S.; Ong, C.J.; Uvaraj, P.; Fu, X.J.; Lee, H.P. , Neurocomputing, Volume 70, Number 1-3, p.93-104, (2006)
2005
An improved conjugate gradient scheme to the solution of least squares SVM. Chu, W.; Keerthi, S.S.; Ong, C. , IEEE Transactions on Neural Networks, Volume 16, Number 2, p.498-501, (2005)
2004
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels. Lee, M.M.S.; Keerthi, S.S.; Ong, C.; DeCoste, D. , IEEE Transactions on Neural Networks, Volume 15, Number 3, p.750-757, (2004)
Bayesian support vector regression using a unified loss function. Chu, W.; Keerthi, S.S.; Ong, C. , IEEE Transactions on Neural Networks, Volume 15, Number 1, p.29-44, (2004)
Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learning. Ong, C.J.; Gilbert, E.G.; Zhang, Z.H.; Keerthi, S.S. , Automatica, (2004)
2003
A Machine Learning Approach for the Curation of Biomedical Literature. Shi, M.; Edwin, D.S.; Menon, R.; Shen, L.; Lim, J.Y.K.; Loh, H.T.; Keerthi, S.S.; Ong, C.J. , ECIR, p.597-604, (2003)
Bayesian Trigonometric Support Vector Classifier. Chu, W.; Keerthi, S.S.; Ong, C.J. , Neural Computation, Volume 15, Number 9, p.2227-225, (2003)
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