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NIPS
1998
13 years 9 months ago
Inference in Multilayer Networks via Large Deviation Bounds
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
Michael J. Kearns, Lawrence K. Saul
NIPS
2003
13 years 9 months ago
Probabilistic Inference in Human Sensorimotor Processing
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
Konrad P. Körding, Daniel M. Wolpert
WSC
2007
13 years 10 months ago
Hierarchical planning and multi-level scheduling for simulation-based probabilistic risk assessment
Simulation of dynamic complex systems—specifically, those comprised of large numbers of components with stochastic behaviors—for the purpose of probabilistic risk assessment f...
Hamed Nejad, Dongfeng Zhu, Ali Mosleh
NIPS
2004
13 years 9 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...
CONCUR
2004
Springer
14 years 1 months ago
Probabilistic Event Structures and Domains
Abstract. This paper studies how to adjoin probability to event structures, leading to the model of probabilistic event structures. In their simplest form probabilistic choice is l...
Daniele Varacca, Hagen Völzer, Glynn Winskel