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» Network Engineering for Complex Belief Networks
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CIKM
1997
Springer
15 years 1 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
UAI
2007
14 years 10 months ago
User-Centered Methods for Rapid Creation and Validation of Bayesian Belief Networks
Bayesian networks (BN) are particularly well suited to capturing vague and uncertain knowledge. However, the capture of this knowledge and associated reasoning from human domain e...
Jonathan D. Pfautz, Zach Cox, Geoffrey Catto, Davi...
66
Voted
SMC
2007
IEEE
122views Control Systems» more  SMC 2007»
15 years 3 months ago
Can complexity science support the engineering of critical network infrastructures?
— Considerable attention is now being devoted to the study of “complexity science” with the intent of discovering and applying universal laws of highly interconnected and evo...
David Alderson, John C. Doyle
92
Voted
NOMS
2002
IEEE
130views Communications» more  NOMS 2002»
15 years 2 months ago
End-to-end service failure diagnosis using belief networks
We present fault localization techniques suitable for diagnosing end-to-end service problems in communication systems with complex topologies. We refine a layered system model th...
Malgorzata Steinder, Adarshpal S. Sethi
89
Voted
ICML
2008
IEEE
15 years 10 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray