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» Learning the Structure of Dynamic Probabilistic Networks
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IJCNN
2007
IEEE
14 years 1 months ago
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning
— In this paper we provide experimental results and extensions to our previous theoretical findings concerning the combination of forecasts that have been diversified by three ...
Silvia Riedel, Bogdan Gabrys
UAI
2000
13 years 9 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman
ATAL
2004
Springer
14 years 1 months ago
Stigmergic Learning for Self-Organizing Mobile Ad-Hoc Networks (MANET's)
In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ ability to conf...
H. Van Dyke Parunak, Sven Brueckner
ATAL
2004
Springer
14 years 1 months ago
Analyzing Stigmergic Learning for Self-Organizing Mobile Ad-Hoc Networks (MANET's)
Abstract. In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ abilit...
H. Van Dyke Parunak, Sven Brueckner
PAMI
2010
188views more  PAMI 2010»
13 years 6 months ago
A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding
—Facial expression is a natural and powerful means of human communication. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, ...
Yan Tong, Jixu Chen, Qiang Ji