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IJCNN
2006
IEEE
14 years 5 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
IJPRAI
1998
13 years 10 months ago
1998
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
IWANN
1999
Springer
14 years 3 months ago
1999
Springer
Abstract. We examine the effects of changing the coefficient of variation (CV) of the inter-stimulus interval on the CV of the output interspike interval (ISI), using constant magn...
CIT
2006
Springer
14 years 2 months ago
2006
Springer
Simulation is a widely used technique in networking research and a practice that has suffered loss of credibility in recent years due to doubts about its reliability. In this pape...
AMC
2005
13 years 11 months ago
2005
In this paper, we show that the so-called ``homotopy perturbation method'' is only a special case of the homotopy analysis method. Both methods are in principle based on...