1921 search results - page 242 / 385 » Learning from sensor network data |
126
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UAI
2000
15 years 3 months ago
2000
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
156
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SOCIALCOM
2010
15 years 13 days ago
2010
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...
132
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SIGKDD
2000
15 years 2 months ago
2000
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
144
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CIDM
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
122
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IJIT
2004
15 years 4 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...