81 search results - page 4 / 17 » Graphical Models, Exponential Families, and Variational Infe... |
UAI
2008
14 years 11 months ago
2008
Many algorithms and applications involve repeatedly solving variations of the same inference problem; for example we may want to introduce new evidence to the model or perform upd...
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
ICONIP
2007
14 years 11 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
85
Voted
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
EMNLP
2010
14 years 7 months ago
2010
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...