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IJAR
2008
83views more  IJAR 2008»
13 years 8 months ago
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...
Alessandro Antonucci, Marco Zaffalon
NN
1997
Springer
174views Neural Networks» more  NN 1997»
14 years 29 days 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
ICCAD
2005
IEEE
81views Hardware» more  ICCAD 2005»
14 years 5 months ago
Kauffman networks: analysis and applications
Abstract— A Kauffman network is an abstract model of gene regulatory networks. Each gene is represented by a vertex. An edge from one vertex to another implies that the former ge...
Elena Dubrova, Maxim Teslenko, Andrés Marti...
ICML
2010
IEEE
13 years 7 months ago
Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
Frank Dondelinger, Sophie Lebre, Dirk Husmeier
BMCBI
2011
13 years 12 days ago
Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities
Background: Gene regulatory networks play essential roles in living organisms to control growth, keep internal metabolism running and respond to external environmental changes. Un...
Yao Fu, Laura R. Jarboe, Julie A. Dickerson