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» Network Engineering for Complex Belief Networks
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JMLR
2010
143views more  JMLR 2010»
13 years 2 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
SOFTWARE
2002
13 years 7 months ago
Facing Fault Management as It Is, Aiming for What You Would Like It to Be
Telecommunication systems are built with extensive redundancy and complexity to ensure robustness and quality of service. Such systems requires complex fault identification and man...
Roy Sterritt
AUTONOMICS
2008
ACM
13 years 9 months ago
Emergent engineering for the management of complex situations
Ubiquitous computing and communication environments connect systems and people in unprecedented ways, but also fundamentally challenge the mindset of traditional systems engineeri...
René Doursat, Mihaela Ulieru
ICML
2010
IEEE
13 years 8 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
SJ
2011
13 years 2 months ago
Analyzing the Resilience of Complex Supply Network Topologies Against Random and Targeted Disruptions
—In this paper, we study the resilience of supply networks against disruptions and provide insights to supply chain managers on how to construct a resilient supply network from t...
Kang Zhao, Akhil Kumar, Terry P. Harrison, John Ye...