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» Network Engineering for Complex Belief Networks
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ISCAS
2007
IEEE
124views Hardware» more  ISCAS 2007»
14 years 1 days ago
A Brief Overview of the Complex Biological and Engineering Networks
— Over the last few decades, complex networks have been intensively studied throughout many fields of science, especially in biological and engineering sciences. This paper brie...
Jinhu Lu, Derong Liu
JMLR
2010
202views more  JMLR 2010»
13 years 16 days ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
PKDD
2000
Springer
100views Data Mining» more  PKDD 2000»
13 years 9 months ago
Learning Right Sized Belief Networks by Means of a Hybrid Methodology
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
Silvia Acid, Luis M. de Campos
CORR
2007
Springer
113views Education» more  CORR 2007»
13 years 5 months ago
Network Coding over a Noisy Relay : a Belief Propagation Approach
Abstract— In recent years, network coding has been investigated as a method to obtain improvements in wireless networks. A typical assumption of previous work is that relay nodes...
Sichao Yang, Ralf Koetter
KBSE
2003
IEEE
13 years 11 months ago
Predicting Fault Prone Modules by the Dempster-Shafer Belief Networks
This paper describes a novel methodology for predicting fault prone modules. The methodology is based on Dempster-Shafer (D-S) belief networks. Our approach consists of three step...
Lan Guo, Bojan Cukic, Harshinder Singh