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» The rebirth of neural networks
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NC
2008
15 years 6 months ago
Top-Down modulation of neural responses in visual perception: a computational exploration
Visual perception is typically performed in the context of a task or goal. Nonetheless, visual processing has traditionally been conceptualized in terms of a fixed, task-independe...
Michael C. Mozer, Adrian Fan
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 11 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
NECO
2010
103views more  NECO 2010»
15 years 1 months ago
Population Models of Temporal Differentiation
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
Bryan P. Tripp, Chris Eliasmith
JMLR
2010
143views more  JMLR 2010»
15 years 1 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov

Book
498views
17 years 5 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood