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GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 8 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 5 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
APCCAS
2006
IEEE
233views Hardware» more  APCCAS 2006»
14 years 1 months ago
Jointly Optimized Modulated-Transmitter and Receiver FIR MIMO Filters
— In recent years, several approaches have been proposed aiming the optimal joint design of finite impulse response (FIR) multiple-input multiple-output (MIMO) transmitter and r...
Guilherme Pinto, Paulo S. R. Diniz, Are Hjø...
CODES
2003
IEEE
14 years 1 months ago
A multiobjective optimization model for exploring multiprocessor mappings of process networks
In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
Cagkan Erbas, Selin C. Erbas, Andy D. Pimentel
DATE
2008
IEEE
117views Hardware» more  DATE 2008»
14 years 2 months ago
Architecture Exploration of NAND Flash-based Multimedia Card
In this paper, we present an architecture exploration methodology for low-end embedded systems where the reduction of cost is a primary design concern. The architecture exploratio...
Sungchan Kim, Chanik Park, Soonhoi Ha