1995 search results - page 217 / 399 » From Data Flow Networks to Process Algebras |
214
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DCOSS
2010
Springer
15 years 11 months ago
2010
Springer
Most sensor network applications are dominated by the acquisition of sensor values. Due to energy limitations and high energy costs of communication, in-network processing has been...
200
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BMCBI
2010
15 years 6 months ago
2010
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
179
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Functional connectivity has been widely used to reveal the dependencies between signals in complex networks such as neural networks observed from electroencephalogram (EEG) data. ...
158
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MOBIHOC
2009
ACM
16 years 7 months ago
2009
ACM
Most future large-scale sensor networks are expected to follow a two-tier architecture which consists of resource-rich master nodes at the upper tier and resource-poor sensor node...
189
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NIPS
2000
15 years 7 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...