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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization NIPS 2009
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NIPS 2009
Manifold Regularization for SIR with Rate Root-n Convergence NIPS 2009
Label Selection on Graphs NIPS 2009
Semi-Supervised Learning in Gigantic Image Collections NIPS 2009
Nonlinear Learning using Local Coordinate Coding NIPS 2009
Adaptive Regularization for Transductive Support Vector Machine NIPS 2009
Semi-supervised Learning using Sparse Eigenfunction Bases NIPS 2009
Distribution Matching for Transduction NIPS 2009
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NIPS 2009
3D Object Recognition with Deep Belief Nets NIPS 2009
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NIPS 2009
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NIPS 2009
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NIPS 2008
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization NIPS 2008
Learning Hybrid Models for Image Annotation with Partially Labeled Data NIPS 2008
Regularized Co-Clustering with Dual Supervision NIPS 2008
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NIPS 2008
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NIPS 2008
Localized Sliced Inverse Regression NIPS 2008
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NIPS 2008
Regularized Learning with Networks of Features NIPS 2008
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree NIPS 2008
Regularization on Graphs with Function-adapted Diffusion Processes JMLR 2008
Unlabeled data: Now it helps, now it doesn't NIPS 2008