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128
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KAIS
2000
106views more  KAIS 2000»
15 years 3 months ago
FANNC: A Fast Adaptive Neural Network Classifier
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC exploits the advantages of both adaptive resonance theory and field theory. It needs only on...
Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
PRIMA
2009
Springer
15 years 10 months ago
Recursive Adaptation of Stepsize Parameter for Non-stationary Environments
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
Itsuki Noda
JCNS
2008
64views more  JCNS 2008»
15 years 3 months ago
Spike-frequency adaptation generates intensity invariance in a primary auditory interneuron
Adaptation of the spike-frequency response to constant stimulation, as observed on various timescales in many neurons, reflects high-pass filter properties of a neuron's tran...
Jan Benda, Matthias Hennig
142
Voted
ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
15 years 10 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard
147
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SAICSIT
2010
ACM
15 years 1 months ago
Determining the user profile for an adaptable training platform
Adaptive computer-based training systems aim to enhance the learning experience by personalising the presentation and content delivery according to the preferences of each particu...
Mardé Greeff, Quentin Williams, Roné...