Results 141 to 150 of about 157,133 (176)
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Noisy belief propagation decoder

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014
This paper analyzes the fundamental performance limits of an LDPC Belief Propagation (BP) decoder implemented on noisy hardware and proposes a robust decoder implementation to improve the resilience to hardware errors. Assuming that the effects of hardware noise in various computational units, i.e., variable nodes and check nodes, can be approximated ...
Chu-Hsiang Huang, Yao Li, Lara Dolecek
openaire   +1 more source

Conditioned Belief Propagation Revisited

2014
Belief Propagation (BP) applied to cyclic problems is a well known approximate inference scheme for probabilistic graphical models. To improve the accuracy of BP, a divide-and-conquer approach termed Conditioned Belief Propagation (CBP) has been proposed in the literature.
Geier Thomas   +2 more
openaire   +1 more source

Analog Digital Belief Propagation

IEEE Communications Letters, 2012
We introduce a message passing belief propagation (BP) algorithm for factor graph over linear models that uses messages in the form of Gaussian-like distributions. With respect to the regular Gaussian BP, the proposed algorithm adds two operations to the model, namely the wrapping and the discretization of variables.
openaire   +2 more sources

Relaxed Gaussian Belief Propagation

2012 IEEE International Symposium on Information Theory Proceedings, 2012
The Gaussian Belief Propagation (GaBP) algorithm executed on Gaussian Markov Random Fields can take a large number of iterations to converge if the inverse covariance matrix of the underlying Gaussian distribution is ill-conditioned and weakly diagonally dominant. Such matrices can arise from many practical problem domains.
Yousef El-Kurdi   +2 more
openaire   +1 more source

Decoding with belief propagation

2009
AbstractThis chapter revisits the problem of decoding low density parity check (LDPC) codes. The maximum a posteriori probability (MAP) decoding of a bit is described as a statistical inference problem, and belief propagation is applied to its solution.
Marc Mézard, Andrea Montanari
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Recursive Belief Propagation --- Belief Propagation in a Well-order

Acta Automatica Sinica, 2010
Feng CHEN, Hong LIU, Wen-Li XU
openaire   +1 more source

Belief propagation: technical perspective

Communications of the ACM, 2010
Yair Weiss, Judea Pearl
openaire   +1 more source

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa   +1 more
exaly  

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