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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Optimization Techniques for Semi-Supervised Support Vector Machines JMLR 2008
Universal Multi-Task Kernels JMLR 2008
Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007
Bayesian Co-Training NIPS 2007
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
Scene Segmentation with CRFs Learned from Partially Labeled Images NIPS 2007
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
A Bayesian LDA-based model for semi-supervised part-of-speech tagging NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
Statistical Analysis of Semi-Supervised Regression NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Regularized Boost for Semi-Supervised Learning NIPS 2007
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NIPS 2007
Semi-Supervised Multitask Learning NIPS 2007
Large Margin Semi-supervised Learning JMLR 2007
Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007
Learning on Graph with Laplacian Regularization NIPS 2006
Clustering Under Prior Knowledge with Application to Image Segmentation NIPS 2006
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006
Large Scale Transductive SVMs JMLR 2006
Relational Learning with Gaussian Processes NIPS 2006
Correcting Sample Selection Bias by Unlabeled Data NIPS 2006
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields NIPS 2006
Enhancing Supervised Terrain Classification with Predictive Unsupervised Learning RSS 2006