2924 search results - page 6 / 585 » On the Use of Evidence in Neural Networks |
IJIT
2004
14 years 11 months ago
2004
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
COMPLEX
2009
Springer
15 years 2 months ago
2009
Springer
Most influence networks are depicted as nodes and links operating in the manner of a feed-forward neural network where both nodes and links appear to be homogenous in their nature....
105
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PRL
2000
14 years 9 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
140
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NPL
2011
14 years 19 days ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
ICTAI
2006
IEEE
15 years 3 months ago
2006
IEEE
This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evid...