Semi-Supervised Learning

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 Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree NeurIPS 2008 Learning Hybrid Models for Image Annotation with Partially Labeled Data NeurIPS 2008 Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NeurIPS 2008 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 Localized Sliced Inverse Regression NeurIPS 2008 Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NeurIPS 2008 Optimization Techniques for Semi-Supervised Support Vector Machines JMLR 2008 Partially Observed Maximum Entropy Discrimination Markov Networks NeurIPS 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 Universal Multi-Task Kernels JMLR 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 Agreement-Based Learning 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 Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007 Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007