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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 4 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
NN
2007
Springer
15 years 9 hour ago
Robust Bayesian clustering
Cédric Archambeau, Michel Verleysen
101
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DSN
2004
IEEE
15 years 4 months ago
Evaluating the Impact of Limited Resource on the Performance of Flooding in Wireless Sensor Networks
Abstract-- Wireless sensor networks (WSNs) are large collections of resource limited nodes, densely deployed over a landscape. They gather and disseminate local data using multihop...
Patrick Downey, Rachel Cardell-Oliver
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 1 months ago
iBOA: the incremental bayesian optimization algorithm
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
Martin Pelikan, Kumara Sastry, David E. Goldberg