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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006

Correcting Sample Selection Bias by Unlabeled Data NIPS 2006

On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NIPS 2006

Learning on Graph with Laplacian Regularization NIPS 2006

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields NIPS 2006

Manifold Denoising NIPS 2006

Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006

Large Scale Transductive SVMs JMLR 2006

Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006

A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data JMLR 2005

Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming JMLR 2003