graph-based learning

Graph-Based Discriminative Learning for Location Recognition CVPR 2013 How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis JMLR 2013 Joint Harmonic Functions and Their Supervised Connections JMLR 2013 Manifold-based Similarity Adaptation for Label Propagation NeurIPS 2013 Semi-Supervised Learning Using Greedy Max-Cut JMLR 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 Transfer Learning in a Transductive Setting NeurIPS 2013 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 A Variance Minimization Criterion to Active Learning on Graphs AISTATS 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 Semi-Supervised Learning with Measure Propagation JMLR 2011 Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010 Label Selection on Graphs NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 Semi-Supervised Multitask Learning NeurIPS 2007 Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms NeurIPS 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006