840 search results - page 118 / 168 » A New Discriminative Kernel From Probabilistic Models |
ISBI
2009
IEEE
15 years 4 months ago
2009
IEEE
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
ECSQARU
2007
Springer
15 years 4 months ago
2007
Springer
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
FORTE
2004
14 years 11 months ago
2004
Passage time densities are useful performance measurements in stochastic systems. With them the modeller can extract probabilistic quality-of-service guarantees such as: the proba...
CVPR
2010
IEEE
15 years 6 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...