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Semi-Supervised Learning

3,075 papers

Papers per year

2
17
39
320
236
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Papers

Regularized Boost for Semi-Supervised Learning NIPS 2007
Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007
Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007
Large Margin Semi-supervised Learning JMLR 2007
Online Classification for Complex Problems Using Simultaneous Projections NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Part-based Probabilistic Point Matching using Equivalence Constraints NIPS 2006
On Transductive Regression NIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006
Manifold Denoising NIPS 2006
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields NIPS 2006
Correcting Sample Selection Bias by Unlabeled Data NIPS 2006
Clustering Under Prior Knowledge with Application to Image Segmentation NIPS 2006
Learning on Graph with Laplacian Regularization NIPS 2006
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NIPS 2006
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms NIPS 2006
Relational Learning with Gaussian Processes NIPS 2006
Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006
Large Scale Transductive SVMs JMLR 2006
Enhancing Supervised Terrain Classification with Predictive Unsupervised Learning RSS 2006
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005
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