9494 search results - page 419 / 1899 » Gaussian Process Networks |
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ICANN
1997
Springer
15 years 9 months ago
1997
Springer
Information in the nervous system has often been considered as being represented by simultaneous discharge of a large set of neurons. We propose a learning mechanism for neural inf...
144
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CIS
2008
Springer
15 years 6 months ago
2008
Springer
In this paper, a method is introduced how to process the Discrete Fourier Transform (DFT) by a singlelayer neural network with a linear transfer function. By implementing the sugg...
139
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APPINF
2003
15 years 6 months ago
2003
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
127
Voted
DCC
2006
IEEE
16 years 4 months ago
2006
IEEE
This paper proposes a framework for joint source-channel decoding of Markov sequences that are coded by a fixed-rate multiple description quantizer (MDQ), and transmitted via a lo...
143
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ALT
2004
Springer
16 years 1 months ago
2004
Springer
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...