8501 search results - page 250 / 1701 » Reactive process networks |
183
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IFIP12
2008
15 years 7 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
136
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AI
2001
Springer
15 years 10 months ago
2001
Springer
This paper presents a new pruning method to determine a nearly optimum multi-layer neural network structure. The aim of the proposed method is to reduce the size of the network by ...
144
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FSEN
2009
Springer
16 years 3 days ago
2009
Springer
We provide an equational theory for Restricted Broadcast Process Theory to reason about ad hoc networks. We exploit an extended algebra called Computed Network Theory to axiomatize...
140
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ISCAS
2005
IEEE
15 years 11 months ago
2005
IEEE
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
154
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DAGM
1993
Springer
1993
Springer
Segmentation of Magnetic Resonance Brain Images using Analog Constraint Satisfaction Neural Networks
15 years 9 months ago
The Grey-White Decision Network (GWDN) is presented as an analog constraint satisfaction neural network that segments magnetic resonance brain images. Constraints on signal intens...