Results 1 to 10 of about 11,852 (159)
Belief propagation for networks with loops. [PDF]
Sci Adv, 2021 A novel belief propagation algorithm is derived for the solution of probabilistic models on networks containing short loops.
Kirkley A, Cantwell GT, Newman MEJ.
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Higher-Order Belief Propagation Correction Decoder for Polar Codes [PDF]
Entropy, 2022 Belief propagation (BP) decoding for polar codes has been extensively studied because of its inherent parallelism. However, its performance remains inferior to that of successive cancellation list decoding (SCL) due to the structure of the decoding graph.
Meng Zhang +3 more
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Belief Propagation Algorithm for Portfolio Optimization Problems. [PDF]
PLoS ONE, 2015 The typical behavior of optimal solutions to portfolio optimization problems with absolute deviation and expected shortfall models using replica analysis was pioneeringly estimated by S. Ciliberti et al. [Eur. Phys. B. 57, 175 (2007)]; however, they have
Takashi Shinzato, Muneki Yasuda
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The graphical brain: Belief propagation and active inference [PDF]
Network Neuroscience, 2017 This paper considers functional integration in the brain from a computational perspective. We ask what sort of neuronal message passing is mandated by active inference—and what implications this has for context-sensitive connectivity at microscopic and ...
Karl J. Friston +2 more
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Event-Based Stereo Depth Estimation Using Belief Propagation [PDF]
Frontiers in Neuroscience, 2017 Compared to standard frame-based cameras, biologically-inspired event-based sensors capture visual information with low latency and minimal redundancy. These event-based sensors are also far less prone to motion blur than traditional cameras, and still ...
Zhen Xie +4 more
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Adaptive Learned Belief Propagation for Decoding Error-Correcting Codes [PDF]
EntropyWeighted belief propagation (WBP) for the decoding of linear block codes is considered. In WBP, the Tanner graph of the code is unrolled with respect to the iterations of the belief propagation decoder.
Alireza Tasdighi, Mansoor Yousefi
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Nonparametric belief propagation [PDF]
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003 In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There exist inference algorithms for discrete approximations to these continuous distributions, but for the high-dimensional variables typically of interest, discrete inference ...
Erik B. Sudderth +3 more
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Gauging tensor networks with belief propagation
SciPost Physics, 2023 Effectively compressing and optimizing tensor networks requires reliable methods for fixing the latent degrees of freedom of the tensors, known as the gauge. Here we introduce a new algorithm for gauging tensor networks using belief propagation, a method
Joseph Tindall, Matt Fishman
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Belief propagation in monoidal categories [PDF]
Electronic Proceedings in Theoretical Computer Science, 2014 We discuss a categorical version of the celebrated belief propagation algorithm. This provides a way to prove that some algorithms which are known or suspected to be analogous, are actually identical when formulated generically. It also highlights the
Jason Morton
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IET Radar, Sonar & Navigation, 2023 The multi‐sensor multiple‐model generalised labelled multi‐Bernoulli filter (MS‐MM‐GLMB) is presented for tracking multiple manoeuvring targets. And we develop efficient implementation for computing multi‐target posterior.
Chenghu Cao, Yongbo Zhao
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