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CORR
2006
Springer
79views Education» more  CORR 2006»
13 years 10 months ago
May We Have Your Attention: Analysis of a Selective Attention Task
In this paper we present a deeper analysis than has previously been carried out of a selective attention problem, and the evolution of continuous-time recurrent neural networks to...
Eldan Goldenberg, Jacob R. Garcowski, Randall D. B...
NN
2000
Springer
145views Neural Networks» more  NN 2000»
13 years 9 months ago
Best approximation by Heaviside perceptron networks
In Lp-spaces with p [1, ) there exists a best approximation mapping to the set of functions computable by Heaviside perceptron networks with n hidden units; however for p (1, ) ...
Paul C. Kainen, Vera Kurková, Andrew Vogt
ESANN
2008
13 years 11 months ago
Improving a statistical language model by modulating the effects of context words
We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton
ICML
1991
IEEE
14 years 1 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
SOFTCO
2004
Springer
14 years 3 months ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira