5140 search results - page 231 / 1028 » Complex Network of Earthquakes |
207
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SIGMOD
2011
ACM
14 years 9 months ago
2011
ACM
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
199
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ICPR
2002
IEEE
16 years 7 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
165
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ICPR
2002
IEEE
16 years 7 months ago
2002
IEEE
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
202
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
193
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CSE
2009
IEEE
16 years 1 months ago
2009
IEEE
—The recently developed small wireless devices ranging from sensor boards to mobile phones provide a timely opportunity to gather unique data sets on complex human interactions, ...