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ICONIP
2009
13 years 5 months ago
Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations
In this paper, a method is introduced in order to qualify the performance of dynamic neural fields (DNF). The method is applied to Amari's DNF equations, in order to drive the...
Lucian Alecu, Hervé Frezza-Buet
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
13 years 11 months ago
Parameter approximate dynamic optimization for PSO systems
— This paper presents a novel swarm approximate dynamic programming method (swarm-ADP) for parameter optimization of PSO systems, from the perspective of optimal control. Based o...
Qi Kang, Lei Wang, Derong Liu, Qidi Wu
JSSPP
2010
Springer
13 years 5 months ago
Dynamic Proportional Share Scheduling in Hadoop
We present the Dynamic Priority (DP) parallel task scheduler for Hadoop. It allows users to control their allocated capacity by adjusting their spending over time. This simple mech...
Thomas Sandholm, Kevin Lai
ICCD
2011
IEEE
296views Hardware» more  ICCD 2011»
12 years 7 months ago
DPPC: Dynamic power partitioning and capping in chip multiprocessors
—A key challenge in chip multiprocessor (CMP) design is to optimize the performance within a power budget limited by the CMP’s cooling, packaging, and power supply capacities. ...
Kai Ma, Xiaorui Wang, Yefu Wang
WINE
2010
Springer
159views Economy» more  WINE 2010»
13 years 5 months ago
Local Dynamics in Bargaining Networks via Random-Turn Games
Abstract. We present a new technique for analyzing the rate of convergence of local dynamics in bargaining networks. The technique reduces balancing in a bargaining network to opti...
L. Elisa Celis, Nikhil R. Devanur, Yuval Peres