semi-supervised learning

Co-regularization Based Semi-supervised Domain Adaptation NeurIPS 2010 Discriminative Clustering by Regularized Information Maximization NeurIPS 2010 Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data JMLR 2010 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 Inductive Regularized Learning of Kernel Functions NeurIPS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Learning from Candidate Labeling Sets NeurIPS 2010 Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010 Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010 Semi-Supervised Learning via Generalized Maximum Entropy AISTATS 2010 Semi-Supervised Learning with Adversarially Missing Label Information NeurIPS 2010 Semi-Supervised Learning with Max-Margin Graph Cuts AISTATS 2010 Semi-Supervised Novelty Detection JMLR 2010 Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010 Transduction with Matrix Completion: Three Birds with One Stone NeurIPS 2010 3D Object Recognition with Deep Belief Nets NeurIPS 2009 Adaptive Regularization for Transductive Support Vector Machine NeurIPS 2009 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009 Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity NeurIPS 2009 Distribution Matching for Transduction NeurIPS 2009 Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NeurIPS 2009 Heavy-Tailed Symmetric Stochastic Neighbor Embedding NeurIPS 2009 Label Selection on Graphs NeurIPS 2009 Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization NeurIPS 2009 Manifold Regularization for SIR with Rate Root-n Convergence NeurIPS 2009