165 search results - page 14 / 33 » Probabilistic Inference for Machine Translation |
90
Voted
FTML
2008
14 years 11 months ago
2008
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
96
Voted
ICML
2009
IEEE
16 years 14 days ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
113
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SIGIR
1999
ACM
15 years 4 months ago
1999
ACM
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
120
Voted
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
See a PPT file with videos at www.research.microsoft.com/users/jojic/FlexiblesSprites.htm We propose a technique for automatically learning layers of "flexible sprites" ...