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Semi-Supervised Learning

3,075 papers

Papers per year

2
17
39
320
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Papers

Unlabeled data: Now it helps, now it doesn't NIPS 2008
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization NIPS 2008
Regularized Learning with Networks of Features NIPS 2008
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NIPS 2008
Learning Hybrid Models for Image Annotation with Partially Labeled Data NIPS 2008
Regularized Co-Clustering with Dual Supervision NIPS 2008
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree NIPS 2008
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NIPS 2008
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NIPS 2008
Localized Sliced Inverse Regression NIPS 2008
Partially Observed Maximum Entropy Discrimination Markov Networks NIPS 2008
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NIPS 2008
Optimization Techniques for Semi-Supervised Support Vector Machines JMLR 2008
Universal Multi-Task Kernels JMLR 2008
Regularization on Graphs with Function-adapted Diffusion Processes JMLR 2008
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Statistical Analysis of Semi-Supervised Regression NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
A Bayesian LDA-based model for semi-supervised part-of-speech tagging NIPS 2007
Semi-Supervised Multitask Learning NIPS 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
Scene Segmentation with CRFs Learned from Partially Labeled Images NIPS 2007
Bayesian Co-Training NIPS 2007