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» Metacognitive Control and Optimal Learning
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GECCO
2003
Springer
158views Optimization» more  GECCO 2003»
15 years 2 months ago
Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
John C. Gallagher, Saranyan Vigraham
DEXA
2010
Springer
177views Database» more  DEXA 2010»
14 years 10 months ago
Enhanced Foundry Production Control
Mechanical properties are the attributes that measure the faculty of a metal to withstand several loads and tensions. Specifically, ultimate tensile strength is the force a materia...
Javier Nieves, Igor Santos, Yoseba K. Penya, Felix...
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 1 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
AE
2003
Springer
15 years 2 months ago
The Evolutionary Control Methodology: An Overview
The ideas proposed in this work are aimed to describe a novel approach based on artificial life (alife) environments for on-line adaptive optimisation of dynamical systems. The bas...
Mauro Annunziato, Ilaria Bertini, M. Lucchetti, Al...
CVPR
2004
IEEE
15 years 11 months ago
Value Directed Learning of Gestures and Facial Displays
This paper presents a method for learning decision theoretic models of facial expressions and gestures from video data. We consider that the meaning of a facial display or gesture...
Jesse Hoey, James J. Little