1512 search results - page 150 / 303 » Inference Algorithms for Similarity Networks |
NECO
2008
14 years 10 months ago
2008
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
88
Voted
IJAR
2010
14 years 8 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
77
Voted
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
ICDCS
2007
IEEE
15 years 4 months ago
2007
IEEE
Although the content of sensor messages describing “events of interest” may be encrypted to provide confidentiality, the context surrounding these events may also be sensitiv...
111
Voted
CPAIOR
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. This paper reconsiders the deployment of synchronous optical networks (SONET), an optimization problem naturally expressed in terms of set variables. Earlier approaches, ...