9494 search results - page 531 / 1899 » Gaussian Process Networks |
168
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PAM
2009
Springer
16 years 2 months ago
2009
Springer
In this paper, we propose a new topology inference technique that aims to reveals how ISPs deploy their layer two and three networks at the POP level, without relying on ISP core n...
236
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NECO
2010
15 years 5 months ago
2010
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
160
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ICPR
2002
IEEE
16 years 8 months ago
2002
IEEE
This paper introduced a modified unsupervised Hopfield network that can learn the underlying process in an edge detection task from grey level images. After the learning phase, th...
872
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Tutorial
Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
198
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SKG
2006
IEEE
16 years 1 months ago
2006
IEEE
Sensor network is a novel technology about acquiring and processing information. This paper introduces the basic interaction patterns between requesters and providers of services ...