137 search results - page 4 / 28 » Fast Committee-Based Structure Learning |
90
Voted
ICANN
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
136
Voted
NIPS
2008
15 years 2 months ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
111
Voted
CVPR
2007
IEEE
15 years 7 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
120
Voted
SDM
2009
SIAM
15 years 10 months ago
2009
SIAM
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
121
Voted
DAGM
2009
Springer
15 years 7 months ago
2009
Springer
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...