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» On Latent Belief Structures
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ECRA
2002
165views more  ECRA 2002»
13 years 9 months ago
Effect of trust on customer acceptance of Internet banking
Two beliefs, ease of use and usefulness, have been considered to be fundamental in determining the acceptance of various IS in the past decades. These beliefs may not, however, fu...
Bomil Suh, Ingoo Han
UAI
2004
13 years 11 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
CISS
2010
IEEE
13 years 1 months ago
Turbo reconstruction of structured sparse signals
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
Philip Schniter
CIKM
1997
Springer
14 years 2 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
CORR
2012
Springer
281views Education» more  CORR 2012»
12 years 5 months ago
Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization
Compiling Bayesian networks (BNs) to junction trees and performing belief propagation over them is among the most prominent approaches to computing posteriors in BNs. However, bel...
Lu Zheng, Ole J. Mengshoel, Jike Chong