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» Modeling GA Performance for Control Parameter Optimization
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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 6 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
15 years 6 months ago
A constant-factor approximately optimal solution to the Witsenhausen counterexample
Abstract— Despite its simplicity (two controllers and otherwise LQG), Witsenhausen’s counterexample is one of the long-standing open problems in stochastic distributed control....
Se Yong Park, Pulkit Grover, Anant Sahai
MIA
2010
170views more  MIA 2010»
14 years 8 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
WSC
2008
15 years 3 months ago
Data enhancement, smoothing, reconstruction and optimization by kriging interpolation
The performance of Kriging interpolation for enhancement, smoothing, reconstruction and optimization of a test data set is investigated. Specifically, the ordinary twodimensional ...
Hasan Gunes, Hakki Ergun Cekli, Ulrich Rist
ICC
2007
IEEE
135views Communications» more  ICC 2007»
15 years 7 months ago
New Results on Single-Step Power Control System in Finite State Markov Channel: Power Control Error Modelling and Queueing Varia
— The analysis regarding the impact of the single-step power control (SSPC) scheme on the system performance such as bit error rate, packet error rate and queueing variation is h...
Shi-Yong Lee, Min-Kuan Chang