5381 search results - page 735 / 1077 » Artificial neural networks |
191
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AI
2007
Springer
16 years 1 months ago
2007
Springer
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an āorā...
199
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FLAIRS
2004
15 years 9 months ago
2004
One fascinating aspect of tool building for datamining is the application of a generalized datamining tool to a specific domain. Often times, this process results in a cross disci...
251
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AI
2006
Springer
15 years 7 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
293
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TWC
2010
15 years 2 months ago
2010
We investigate the impact of mobile node density on several detection performance measures for stationary target detection by a hybrid sensor network consisting of both static and ...
225
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GECCO
2010
Springer
16 years 13 days ago
2010
Springer
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artiļ¬cial neural network ...