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» Neural Networks and Belief Logic
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ICASSP
2011
IEEE
12 years 9 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Deep networks for audio event classification in soccer videos
In this work is presented a novel approach for the classification of audio concepts in broadcast soccer videos using deep belief network (DBN), a probabilistic neural network with...
Lamberto Ballan, Alessio Bazzica, Marco Bertini, A...
FUZZY
2001
Springer
121views Fuzzy Logic» more  FUZZY 2001»
13 years 10 months ago
Interpretation of Trained Neural Networks by Rule Extraction
Vasile Palade, Ciprian-Daniel Neagu, Ronald J. Pat...
NECO
2008
170views more  NECO 2008»
13 years 5 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio
NIPS
2003
13 years 6 months ago
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
We show that temporal logic and combinations of temporal logics and modal logics of knowledge can be effectively represented in artificial neural networks. We present a Translat...
Artur S. d'Avila Garcez, Luís C. Lamb