5065 search results - page 264 / 1013 » Neural networks: Algorithms and applications |
210
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ECAI
2004
Springer
16 years 19 days ago
2004
Springer
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
166
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IWANN
2009
Springer
16 years 1 months ago
2009
Springer
This paper presents SYLPH, a novel distributed architecture which integrates a service-oriented approach into Wireless Sensor Networks. One of the characteristics of SYLPH is that ...
212
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RTSS
2007
IEEE
16 years 1 months ago
2007
IEEE
Wireless sensor network (WSN) applications have been studied extensively in recent years. Such applications involve resource-limited embedded sensor nodes that have small size and...
190
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IJCNN
2007
IEEE
16 years 1 months ago
2007
IEEE
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
252
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ICDM
2010
IEEE
15 years 5 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...