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Semi-Supervised Learning

3,075 papers

Papers per year

2
17
39
320
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Papers

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