748 search results - page 40 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
GECCO
2005
Springer
14 years 27 days ago
2005
Springer
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
NIPS
2003
13 years 8 months ago
2003
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
NIPS
2008
13 years 8 months ago
2008
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
CEC
2008
IEEE
14 years 1 months ago
2008
IEEE
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
TSD
2010
Springer
13 years 5 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...