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» An adaptive probabilistic trust model and its evaluation
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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
14 years 1 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
AIIA
2007
Springer
14 years 2 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
IANDC
2007
152views more  IANDC 2007»
13 years 8 months ago
The reactive simulatability (RSIM) framework for asynchronous systems
We define reactive simulatability for general asynchronous systems. Roughly, simulatability means that a real system implements an ideal system (specification) in a way that pre...
Michael Backes, Birgit Pfitzmann, Michael Waidner
ICASSP
2008
IEEE
14 years 3 months ago
Adaptive RR prediction for cardiac MRI
Cardiac magnetic resonance imaging (MRI) is very challenging due to the perpetual heart movements. This movement is pseudo-periodic and implies several issues for image acquisitio...
Julien Oster, Olivier Pietquin, Gilles Bosser
CCGRID
2006
IEEE
14 years 2 months ago
Exploit Failure Prediction for Adaptive Fault-Tolerance in Cluster Computing
As the scale of cluster computing grows, it is becoming hard for long-running applications to complete without facing failures on large-scale clusters. To address this issue, chec...
Yawei Li, Zhiling Lan