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» Upper Bound on Pattern Storage in Feedforward Networks
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SSPR
2004
Springer
13 years 10 months ago
Bounds for the Average Generalization Error of the Mixture of Experts Neural Network
Abstract. In this paper we derive an upper bound for the average-case generalization error of the mixture of experts modular neural network, based on an average-case generalization...
Luís A. Alexandre, Aurélio C. Campil...
INFOCOM
2012
IEEE
11 years 7 months ago
Capacity of distributed content delivery in large-scale wireless ad hoc networks
—In most existing wireless networks, end users obtain data content from the wired network, typically, the Internet. In this manner, virtually all of their traffic must go throug...
Wang Liu, Kejie Lu, Jianping Wang, Yi Qian, Tao Zh...
FLAIRS
2004
13 years 6 months ago
Spatiotemporal Novelty Detection Using Resonance Networks
We present a single-layer recurrent neural network that implements novelty detection for spatiotemporal patterns. The architecture is based on the structure of region CA3 in the h...
Benjamin A. Rowland, Anthony S. Maida
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
13 years 9 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
INFOCOM
2002
IEEE
13 years 10 months ago
On the capacity of wireless networks: The relay case
Abstract— In [1], Gupta and Kumar determined the capacity of wireless networks under certain assumptions, among them point-to-point coding, which excludes for example multi-acces...
Michael Gastpar, Martin Vetterli