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» Linear Modeling of Genetic Networks from Experimental Data
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GECCO
2006
Springer
182views Optimization» more  GECCO 2006»
13 years 11 months ago
Distributed genetic algorithm for energy-efficient resource management in sensor networks
In this work we consider energy-efficient resource management in an environment monitoring and hazard detection sensor network. Our goal is to allocate different detection methods...
Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzh...
IJON
2007
91views more  IJON 2007»
13 years 7 months ago
Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
E. Olbrich, Thomas Wennekers
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
13 years 10 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
IRI
2008
IEEE
14 years 1 months ago
Exercise energy expenditure estimation based on acceleration data using the linear mixed model
This paper introduces a novel algorithm for estimating energy expenditure during physical activity. The estimation is based on acceleration data measured from a wrist-worn acceler...
Eija Haapalainen, Perttu Laurinen, Pekka Siirtola,...
CORR
1998
Springer
164views Education» more  CORR 1998»
13 years 7 months ago
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit...
Aristidis Likas, Isaac E. Lagaris