Publications

Found 7 results

Filters: author is Sindhwani  [Clear All Filters]
2007
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models Keerthi, S.S.; Sindhwani, V.; Chapelle, O. , Advances in Neural Information Processing Systems 19, Cambridge, MA, p.673--680, (2007)
Branch and Bound for Semi-Supervised Support Vector Machines Chapelle, O.; Sindhwani, V.; Keerthi, S.S. , Advances in Neural Information Processing Systems 19, Cambridge, MA, p.217--224, (2007)
Newton Methods for Fast Semisupervised Linear SVMs. Sindhwani, V.; Keerthi, S.S. , Large Scale Kernel Machines, Cambridge, MA, (2007)
Relational Learning with Gaussian Processes Chu, W.; Sindhwani, V.; Ghahramani, Z.; Keerthi, S.S. , Advances in Neural Information Processing Systems 19, Cambridge, MA, p.289--296, (2007)
Semi-Supervised Gaussian Process Classifiers. Sindhwani, V.; Chu, W.; Keerthi, S.S. , IJCAI, p.1059-1064, (2007)
2006
Deterministic annealing for semi-supervised kernel machines. Sindhwani, V.; Keerthi, S.S.; Chapelle, O. , ICML, p.841-848, (2006)
Large scale semi-supervised linear SVMs. Sindhwani, V.; Keerthi, S.S. , SIGIR, p.477-484, (2006)