Semi-Supervised Learning

Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 Active Learning Using Smooth Relative Regret Approximations with Applications COLT 2012 A Variance Minimization Criterion to Active Learning on Graphs AISTATS 2012 Constrained 1-Spectral Clustering AISTATS 2012 Data dependent kernels in nearly-linear time AISTATS 2012 Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012 Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NeurIPS 2012 Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation ACML 2012 Generalized Optimal Reverse Prediction AISTATS 2012 Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NeurIPS 2012 Learning Algorithms for the Classification Restricted Boltzmann Machine JMLR 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 Learning with Target Prior NeurIPS 2012 Metric and Kernel Learning Using a Linear Transformation JMLR 2012 More Is Better: Large Scale Partially-supervised Sentiment Classification ACML 2012 Multi-task Vector Field Learning NeurIPS 2012 New Bounds for Learning Intervals with Implications for Semi-Supervised Learning COLT 2012 Selective Sampling and Active Learning from Single and Multiple Teachers JMLR 2012 Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NeurIPS 2012 Semi-Supervised Domain Adaptation with Non-Parametric Copulas NeurIPS 2012 Semi-supervised Eigenvectors for Locally-biased Learning NeurIPS 2012 Transductive Learning of Structural SVMs via Prior Knowledge Constraints AISTATS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Bayesian Co-Training JMLR 2011 Co-Training for Domain Adaptation NeurIPS 2011