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JMLR
2010
151views more  JMLR 2010»
13 years 4 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
IJCNN
2006
IEEE
14 years 4 months ago
Modeling Cortical Maps with Feed-Backs
Abstract— High-level specification of how the brain represents and categorizes the causes of its sensory input allows to link “what is to be done” (perceptual task) with “...
Thierry Viéville, Pierre Kornprobst
IEEEIAS
2009
IEEE
14 years 4 months ago
Analysis of One-way Alterable Length Hash Function Based on Cell Neural Network
: In this paper, a hash function construction method based on cell neural network (CNN) with hyper-chaos characteristics is proposed. The chaos sequence is generated by iterating C...
Qun-ting Yang, Tie-gang Gao, Li Fan, Qiao-lun Gu
ABIALS
2008
Springer
14 years 4 months ago
Neural Pathways of Embodied Simulation
Simulation theories have in recent years proposed that a cognitive agent's "inner world" can at least partly be constituted by internal emulations or simulations of ...
Henrik Svensson, Anthony F. Morse, Tom Ziemke
IJCNN
2000
IEEE
14 years 2 months ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...