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TNN
2008
177views more  TNN 2008»
13 years 7 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
ARTMED
2002
121views more  ARTMED 2002»
13 years 7 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass
IWINAC
2007
Springer
14 years 1 months ago
Brain Organization and Computation
Theories of how the brain computes can be differentiated in three general conceptions: the algorithmic approach, the neural information processing (neurocomputational) approach an...
Andreas Schierwagen
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
14 years 2 months ago
The impact of network topology on self-organizing maps
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Fei Jiang, Hugues Berry, Marc Schoenauer
PPSN
1992
Springer
13 years 11 months ago
Structure Evolution and Incomplete Induction
We present an application of arti cial neural networks to machine condition monitoring. Since several signal preprocessing methods produce high dimensional feature vectors there i...
Reinhard Lohmann