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» Optimization by Stochastic Continuation
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IJON
2006
112views more  IJON 2006»
15 years 4 months ago
Comparison of automated parameter estimation methods for neuronal signaling networks
This work is a suitability study of the different optimization methods for automated parameter estimation (fitting) in the context of neuronal signaling networks. The Gepasi simul...
Antti Pettinen, Olli Yli-Harja, Marja-Leena Linne
AIPS
2008
15 years 6 months ago
Multiagent Planning Under Uncertainty with Stochastic Communication Delays
We consider the problem of cooperative multiagent planning under uncertainty, formalized as a decentralized partially observable Markov decision process (Dec-POMDP). Unfortunately...
Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos A. ...
JAIR
2008
107views more  JAIR 2008»
15 years 4 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld
IOR
2010
112views more  IOR 2010»
15 years 2 months ago
New Policies for the Stochastic Inventory Control Problem with Two Supply Sources
We study an inventory system under periodic review in the presence of two suppliers (or delivery modes). The emergency supplier has a shorter lead-time than the regular supplier, ...
Anshul Sheopuri, Ganesh Janakiraman, Sridhar Sesha...
CVPR
2008
IEEE
16 years 6 months ago
FusionFlow: Discrete-continuous optimization for optical flow estimation
Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems. To solve them, most top-performing methods rely ...
Victor S. Lempitsky, Stefan Roth, Carsten Rother