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» On the convergence of the power series algorithm
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136
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KES
2006
Springer
15 years 11 days ago
Predicting Cluster Formation in Decentralized Sensor Grids
This paper investigates cluster formation in decentralized sensor grids and focusses on predicting when the cluster formation converges to a stable configuration. The traffic volum...
Astrid Zeman, Mikhail Prokopenko
106
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Fourier expansion of hammerstein models for nonlinear acoustic system identification
We consider the task of acoustic system identification, where the input signal undergoes a memoryless nonlinear transformation before convolving with an unknown linear system. We...
Sarmad Malik, Gerald Enzner
74
Voted
DATE
2010
IEEE
163views Hardware» more  DATE 2010»
15 years 4 months ago
Enhanced Q-learning algorithm for dynamic power management with performance constraint
- This paper presents a novel power management techniques based on enhanced Q-learning algorithms. By exploiting the submodularity and monotonic structure in the cost function of a...
Wei Liu, Ying Tan, Qinru Qiu
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 5 months ago
Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
Xiaodong Li
106
Voted
ICCS
2007
Springer
15 years 6 months ago
Complexity of Monte Carlo Algorithms for a Class of Integral Equations
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...
Ivan Dimov, Rayna Georgieva