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ATAL
2004
Springer
15 years 3 months ago
Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
IPPS
2002
IEEE
15 years 2 months ago
Optimal Remapping in Dynamic Bulk Synchronous Computations via a Stochastic Control Approach
A bulk synchronous computation proceeds in phases that are separated by barrier synchronization. For dynamic bulk synchronous computations that exhibit varying phase-wise computat...
Gang George Yin, Cheng-Zhong Xu, Le Yi Wang
ICPR
2010
IEEE
15 years 6 days ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
WSC
2007
15 years 4 days ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan
JSAC
2008
121views more  JSAC 2008»
14 years 9 months ago
Stochastic analysis of network coding in epidemic routing
Epidemic routing has been proposed to reduce the data transmission delay in disruption tolerant wireless networks, in which data can be replicated along multiple opportunistic path...
Yunfeng Lin, Baochun Li, Ben Liang