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NN
2004
Springer
102views Neural Networks» more  NN 2004»
14 years 3 months ago
A Quantitative Evaluation of a Bio-inspired Sound Segregation Technique for Two- and Three-Source Mixtures
A sound source separation technique based on a bio-inspired neural network, capable of functioning in more than two-source mixtures, is proposed. Separation results are compared wi...
Ramin Pichevar, Jean Rouat
IWANN
2001
Springer
14 years 2 months ago
Neuronal Models with Current Inputs
We propose a novel approach based upon a superposition of ‘colored’ and ‘white’ noise to approximate current inputs in neural models. Numerical results show that the novel ...
Jianfeng Feng
CONTEXT
2001
Springer
14 years 2 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
NECO
2007
110views more  NECO 2007»
13 years 9 months ago
Exact Simulation of Integrate-and-Fire Models with Exponential Currents
ll Text][Abstract] , October 1, 2007; 19 (10): 2604-2609.Neural Comput. R. Brette Exact Simulation of Integrate-and-Fire Models with Exponential Currents ll Text][Abstract] , Novem...
Romain Brette
TNN
2008
177views more  TNN 2008»
13 years 10 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