509 search results - page 35 / 102 » Using Learning for Approximation in Stochastic Processes |
109
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
118
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SIAMSC
2008
15 years 2 months ago
2008
Asymptotic linear stability is studied for stochastic differential equations (SDEs) that incorporate Poisson-driven jumps and their numerical simulation using Eulertype discretisa...
197
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
A Bayesian marked point process (MPP) model is developed
to detect and count people in crowded scenes. The
model couples a spatial stochastic process governing number
and placem...
125
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ICASSP
2008
IEEE
15 years 8 months ago
2008
IEEE
We deal with consensus-based online estimation and tracking of (non-) stationary signals using ad hoc wireless sensor networks (WSNs). A distributed (D-) least-mean square (LMS) l...
132
Voted
EACL
2006
ACL Anthology
15 years 3 months ago
2006
ACL Anthology
Multimodal grammars provide an expressive formalism for multimodal integration and understanding. However, handcrafted multimodal grammars can be brittle with respect to unexpecte...