transductive learning

Adaptive Regularization for Transductive Support Vector Machine NeurIPS 2009 Distribution Matching for Transduction NeurIPS 2009 Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NeurIPS 2009 Manifold Regularization for SIR with Rate Root-n Convergence NeurIPS 2009 An Error Bound Based on a Worst Likely Assignment JMLR 2008 A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NeurIPS 2008 Regularization on Graphs with Function-adapted Diffusion Processes JMLR 2008 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007 Large Scale Transductive SVMs JMLR 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006 Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples JMLR 2006 On Transductive Regression NeurIPS 2006 Learning the Kernel Matrix with Semidefinite Programming JMLR 2004