1316 search results - page 64 / 264 » Comparing mathematical models on the problem of network infe... |
153
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SUM
2009
Springer
15 years 11 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
131
Voted
CORR
2011
Springer
14 years 8 months ago
2011
Springer
The predominant knowledge-based approach to automated model construction, compositional modelling, employs a set of models of particular functional components. Its inference mecha...
154
Voted
ICRA
2005
IEEE
15 years 10 months ago
2005
IEEE
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
151
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MSWIM
2004
ACM
15 years 10 months ago
2004
ACM
This study addresses the problem of k-connectivity of a wireless multihop network consisting of randomly placed nodes with a common transmission range, by utilizing empirical regr...
159
Voted
MOBILWARE
2009
ACM
15 years 11 months ago
2009
ACM
Sub-Nyquist sampling techniques for Wireless Sensor Networks (WSN) are gaining increasing attention as an alternative method to capture natural events with desired quality while mi...