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» Dependence Modeling for Stochastic Simulation
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ICML
2009
IEEE
16 years 4 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
126
Voted
CMSB
2009
Springer
15 years 10 months ago
Approximation of Event Probabilities in Noisy Cellular Processes
Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time st...
Frédéric Didier, Thomas A. Henzinger...
CN
2008
98views more  CN 2008»
15 years 3 months ago
Description and simulation of dynamic mobility networks
During the last decade, the study of large scale complex networks has attracted a substantial amount of attention and works from several domains: sociology, biology, computer scie...
Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jea...
123
Voted
WSC
2007
15 years 6 months ago
Estimating tranche spreads by loss process simulation
A credit derivative is a path dependent contingent claim on the aggregate loss in a portfolio of credit sensitive securities. We estimate the value of a credit derivative by Monte...
Kay Giesecke, Baeho Kim
DSRT
1999
IEEE
15 years 8 months ago
Resolving Concurrent Interactions
Serialization, the traditional method of resolving concurrent interactions, is often inappropriate; when interactions are dependent on each other, other policies for resolving the...
Anand Natrajan, Paul F. Reynolds Jr.