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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 11 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
IJCNN
2006
IEEE
16 years 22 days ago
Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations
—We present new results from Computational Neurogenetic Modeling to aid discoveries of complex gene interactions underlying oscillations in neural systems. Interactions of genes ...
Lubica Benuskova, Simei Gomes Wysoski, Nikola K. K...
VTC
2007
IEEE
113views Communications» more  VTC 2007»
16 years 29 days ago
Improving the Performance of the Distributed Scheduler in IEEE 802.16 Mesh Networks
— Wireless mesh networks are a viable solution to provide broadband wireless access (BWA) in a cost efficient and flexible manner. The IEEE 802.16 standard is currently one of ...
Nico Bayer, Bangnan Xu, Veselin Rakocevic, Joachim...
JSAC
2006
88views more  JSAC 2006»
15 years 6 months ago
OSNR optimization in optical networks: modeling and distributed algorithms via a central cost approach
Abstract-- This paper addresses the problem of optical signalto-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general mul...
L. Pavel