22 search results - page 4 / 5 » Learning kernels from biological networks by maximizing entr... |
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
NN
2006
Springer
13 years 10 months ago
2006
Springer
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
NECO
2007
13 years 10 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
NIPS
2003
14 years 7 days ago
2003
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
TNN
2010
13 years 5 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...