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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
JMLR
2006
103views more  JMLR 2006»
15 years 6 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
PSYCHNOLOGY
2008
156views more  PSYCHNOLOGY 2008»
15 years 6 months ago
SIM: A dynamic multidimensional visualization method for social networks
Visualization plays an important role in social networks analysis to explore and investigate individual and groups behaviours. Therefore, different approaches have been proposed f...
Maria Chiara Caschera, Fernando Ferri, Patrizia Gr...
TJS
2010
89views more  TJS 2010»
15 years 5 months ago
Metacube - a versatile family of interconnection networks for extremely large-scale supercomputers
The high-performance supercomputers will consist of several millions of CPUs in the next decade. The interconnection networks in such supercomputers play an important role for achi...
Yamin Li, Shietung Peng, Wanming Chu
IJSNET
2010
317views more  IJSNET 2010»
15 years 1 months ago
MRL-CC: a novel cooperative communication protocol for QoS provisioning in wireless sensor networks
: Cooperative communications have been demonstrated to be effective in combating the multiple fading effects in wireless networks, and improving the network performance in terms of...
Xuedong Liang, Min Chen, Yang Xiao, Ilangko Balasi...