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Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes.
Mathieu Galtier
Camille Marini
Gilles Wainrib
Herbert Jaeger
Published in:
Neural Networks (2014)
Keyphrases
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stochastic processes
relative entropy
random fields
information theoretic
probability distribution
information theory
log likelihood
mutual information
random variables
covariance matrix
mahalanobis distance
maximum entropy
dynamic bayesian networks
bregman divergences
maximum likelihood
sample size