semi-supervised learning

Multi-Label Prediction via Sparse Infinite CCA NeurIPS 2009 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009 On Efficient Large Margin Semisupervised Learning: Method and Theory JMLR 2009 Semi-Supervised Learning in Gigantic Image Collections NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Semi-Supervised Training for the Averaged Perceptron POS Tagger EACL 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NeurIPS 2008 A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NeurIPS 2008 Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NeurIPS 2008 Localized Sliced Inverse Regression NeurIPS 2008 Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NeurIPS 2008 Multi-Level Active Prediction of Useful Image Annotations for Recognition NeurIPS 2008 Optimization Techniques for Semi-Supervised Support Vector Machines JMLR 2008 Regularization on Graphs with Function-adapted Diffusion Processes JMLR 2008 Regularized Co-Clustering with Dual Supervision NeurIPS 2008 Regularized Learning with Networks of Features NeurIPS 2008 Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization NeurIPS 2008 Unlabeled data: Now it helps, now it doesn't NeurIPS 2008 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Colored Maximum Variance Unfolding NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NeurIPS 2007