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ICML
2007
IEEE
14 years 8 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
ICML
2008
IEEE
14 years 8 months ago
Classification using discriminative restricted Boltzmann machines
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
Hugo Larochelle, Yoshua Bengio
IJCNN
2008
IEEE
14 years 2 months ago
Neuro-visual control in the Quake II game engine
— The first-person-shooter Quake II is used as a platform to test neuro-visual control and retina input layouts. Agents are trained to shoot a moving enemy as quickly as possibl...
Matt Parker, Bobby D. Bryant
ICANN
2009
Springer
14 years 14 days ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
IWANN
2001
Springer
14 years 9 days ago
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction
Abstract. In this paper we address the problem of blind source extraction of a subset of “interesting” independent sources from a linear convolutive or instantaneous mixture. T...
Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari