Results 31 to 40 of about 157,133 (176)
Hard and Soft EM in Bayesian Network Learning from Incomplete Data
Algorithms, 2020 Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations.
Andrea Ruggieri +3 more
doaj +1 more source
, 2006 We propose consensus propagation, an asynchronous distributed protocol for averaging numbers across a network. We establish convergence, characterize the convergence rate for regular graphs, and demonstrate that the protocol exhibits better scaling ...
Moallemi, Ciamac C., Van Roy, Benjamin
core +3 more sources
Belief Propagation Through Provenance Graphs [PDF]
, 2018 Provenance of food describes food, the processes in food transformation, and the food operators from the source to consumption; modelling the history food. In processing food, the risk of contamination increases if food is treated inappropriately.
Batlajery, Belfrit Victor +3 more
openaire +3 more sources
A Simple Scheme for Belief Propagation Decoding of BCH and RS Codes in Multimedia Transmissions
International Journal of Digital Multimedia Broadcasting, 2008 Classic linear block codes, like Bose-Chaudhuri-Hocquenghem (BCH) and Reed-Solomon (RS) codes, are widely used in multimedia transmissions, but their soft-decision decoding still represents an open issue.
Marco Baldi, Franco Chiaraluce
doaj +1 more source
Belief Propagation as Diffusion [PDF]
, 2021 We introduce novel belief propagation algorithms to estimate the marginals of a high dimensional probability distribution. They involve natural (co)homological constructions relevant for a localised description of statistical systems.
openaire +2 more sources
A Homological Approach to Belief Propagation and Bethe Approximations
, 2019 We introduce a differential complex of local observables given a decomposition of a global set of random variables into subsets. Its boundary operator allows us to define a transport equation equivalent to Belief Propagation.
AG Schlijper +11 more
core +1 more source
Exploiting degeneracy in belief propagation decoding of quantum codes
npj Quantum Information, 2022 Quantum information needs to be protected by quantum error-correcting codes due to imperfect physical devices and operations. One would like to have an efficient and high-performance decoding procedure for the class of quantum stabilizer codes.
Kao-Yueh Kuo, Ching-Yi Lai
doaj +1 more source
Low-Complexity Stochastic Generalized Belief Propagation
, 2016 The generalized belief propagation (GBP), introduced by Yedidia et al., is an extension of the belief propagation (BP) algorithm, which is widely used in different problems involved in calculating exact or approximate marginals of probability ...
Haddadpour, Farzin +2 more
core +1 more source
Belief Propagation on replica symmetric random factor graph models [PDF]
, 2016 According to physics predictions, the free energy of random factor graph models that satisfy a certain "static replica symmetry" condition can be calculated via the Belief Propagation message passing scheme [Krzakala et al., PNAS 2007].
Coja-Oghlan, Amin, Perkins, Will
core +4 more sources
Belief Propagation, Bethe Approximation and Polynomials
, 2017 Factor graphs are important models for succinctly representing probability distributions in machine learning, coding theory, and statistical physics. Several computational problems, such as computing marginals and partition functions, arise naturally ...
Straszak, Damian, Vishnoi, Nisheeth K.
core +1 more source