Results 21 to 30 of about 1,107,982 (188)

Kernel Belief Propagation

CoRR, 2011
We propose a nonparametric generalization of belief propagation, Kernel Belief Propagation (KBP), for pairwise Markov random fields. Messages are represented as functions in a reproducing kernel Hilbert space (RKHS), and message updates are simple linear operations in the RKHS.
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin   +4 more
openaire   +3 more sources

Differentiable Nonparametric Belief Propagation

CoRR, 2021
12 pages, 9 ...
Anthony Opipari, Chao Chen, Shoutian Wang, Jana Pavlasek, Karthik Desingh, Odest Chadwicke Jenkins   +5 more
openaire   +3 more sources

Tensor networks contraction and the belief propagation algorithm

Physical Review Research, 2021
Belief propagation is a well-studied message-passing algorithm that runs over graphical models and can be used for approximate inference and approximation of local marginals.
R. Alkabetz, I. Arad
doaj   +1 more source

Graph Belief Propagation Networks

CoRR, 2021
With the wide-spread availability of complex relational data, semi-supervised node classification in graphs has become a central machine learning problem. Graph neural networks are a recent class of easy-to-train and accurate methods for this problem that map the features in the neighborhood of a node to its label, but they ignore label correlation ...
Junteng Jia, Cenk Baykal, Vamsi K. Potluru, Austin R. Benson   +3 more
openaire   +3 more sources

Generalized Belief Propagation Algorithms for Decoding of Surface Codes [PDF]

Quantum, 2023
Belief propagation (BP) is well-known as a low complexity decoding algorithm with a strong performance for important classes of quantum error correcting codes, e.g.
Josias Old, Manuel Rispler
doaj   +1 more source

Analog MIMO detection on the basis of Belief Propagation [PDF]

, 2006
In this article we present the design of an analog detector for Multiple-Input Multiple-Output (NIMO) wireless systems, based on the well known Belief Propagation (BP) algorithm.
Koushik Maharatna, McNamara, DP, Darren McNamara, Soler Garrido, J, Piechocki, RJ, Maharatna, K, Josep Soler-Garrido, Robert J. Piechocki   +7 more
core   +1 more source

Counting Belief Propagation

CoRR, 2012
A major benefit of graphical models is that most knowledge is captured in the model structure. Many models, however, produce inference problems with a lot of symmetries not reflected in the graphical structure and hence not exploitable by efficient inference techniques such as belief propagation (BP).
Kristian Kersting, Babak Ahmadi, Sriraam Natarajan   +2 more
openaire   +4 more sources

Convex Combination Belief Propagation Algorithms [PDF]

, 2022
We present new message passing algorithms for performing inference with graphical models. Our methods are designed for the most difficult inference problems where loopy belief propagation and other heuristics fail to converge.
Grim, Anna, Felzenszwalb, Pedro
core   +1 more source

Belief Propagation With Permutated Graphs of Polar Codes

IEEE Access, 2020
The belief propagation (BP) decoding of polar codes provides better bit error rate (BER) and packet error rate (PER) performance than the successive cancelation (SC) decoding.
Liping Li, Liangliang Liu
doaj   +1 more source

Improved CRC aided BP decoding for polar codes

Electronics Letters, 2021
In this letter, a modified message passing algorithm to prevent short cycles in the factor graph is proposed and combined with a relaxation technique to improve the performance of cyclic redundancy check aided belief propagation decoding for polar codes.
Sungkwon Hong, Jong‐Moon Chung
doaj   +1 more source