215 search results - page 26 / 43 » Coarse-to-Fine Inference and Learning for First-Order Probab... |
AAAI
2008
13 years 10 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
JAIR
2006
13 years 7 months ago
2006
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
JCB
2006
13 years 7 months ago
2006
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
NIPS
2007
13 years 9 months ago
2007
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...