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» Learning Networks of Stochastic Differential Equations
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ISCAS
2007
IEEE
130views Hardware» more  ISCAS 2007»
14 years 2 months ago
Classes of stochastically switched (blinking) systems
—It is investigated to what extent the trajectories of a stochastically switched (blinking) system follow the corresponding trajectories of the averaged system. Four cases have t...
Martin Hasler, Igor Belykh, Vladimir N. Belykh
INFOCOM
1998
IEEE
14 years 23 days ago
A Stochastic Approximation Approach for Max-Min Fair Adaptive Rate Control of ABR Sessions with MCRs
The ABR sessions in an ATM network share the bandwidth left over after guaranteeing service to CBR and VBR traffic. Hence the bandwidth available to ABR sessions is randomly varyi...
Santosh Paul Abraham, Anurag Kumar
ATAL
2008
Springer
13 years 10 months ago
Non-linear dynamics in multiagent reinforcement learning algorithms
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
Sherief Abdallah, Victor R. Lesser
BMCBI
2006
175views more  BMCBI 2006»
13 years 8 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
CDC
2009
IEEE
139views Control Systems» more  CDC 2009»
13 years 6 months ago
Synchronization stability of complex dynamical networks with probabilistic time-varying delays
Abstract-- A kind of complex dynamical networks with timevarying coupling delays is proposed. By some transformation, the synchronization problem of the complex networks is transfe...
Hongjie Li, Dong Yue, Zhou Gu