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ICANN
2011
Springer
14 years 2 months ago
Transforming Auto-Encoders
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
WWW
2003
ACM
15 years 12 months ago
A Presentation Architecture for Individualized Content
A modern approach for generating individualized web-sites is to compose a page out of individual elements, for instance XML-fragments, which is eventually transformed to . If the ...
Alberto González Palomo, Carsten Ullrich, P...
IJCNN
2008
IEEE
15 years 5 months ago
On-line bagging Negative Correlation Learning
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
Fernanda L. Minku, Xin Yao
CG
2000
Springer
15 years 3 months ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
NIPS
1997
15 years 17 days ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung