Results 251 to 260 of about 16,794 (295)
Distributed spatial awareness for robot swarms. [PDF]
Jones S, Hauert S.
europepmc +1 more source
Chaotic Itinerancy in Collective Behaviour Emerging from Active Inference: A Multi-Agent Model of Trust and Empowerment Dynamics in Theatre Workshops. [PDF]
Miyano S, Shiono T.
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Micro Fault Diagnosis of Driving Motor Bearings Based on Multi-Residual Neural Networks and Evidence Reasoning Rule. [PDF]
Zhang A, Tang L, Hu G.
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Coherent-resonant netting: disorder-enhanced selectivity from transient wave-like dynamics on biological connectomes. [PDF]
Dolgikh O.
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Observer effect modulates classification in a quantum epistemic framework. [PDF]
Hoorn JF, Ho JKW.
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Dithered Belief Propagation Decoding
IEEE Transactions on Communications, 2012We introduce two dithered belief propagation decoding algorithms to lower the error floor with a minimal hardware overhead. One of the algorithms can additionally improve the decoding performance in the waterfall region using a large iteration limit but with a negligible increase in the average time complexity.
François Leduc-Primeau +2 more
exaly +3 more sources
Analog Digital Belief Propagation
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.
Montorsi, Guido, Guido Montorsi
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Computational models of belief propagation [PDF]
In this thesis we aim to gain better understanding on the working of the belief propagation algorithm designed for graphical models in other computational frameworks like the neural systems, as well as the error associated with loopy belief propagation in Bayesian networks.
Ng, Khin Hua
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Cooperative Localization Using Posterior Linearization Belief Propagation [PDF]
This paper presents the posterior linearization belief propagation (PLBP) algorithm for cooperative localization in wireless sensor networks with nonlinear measurements. PLBP performs two steps iteratively: linearization and belief propagation.
Angel F García-Fernández +2 more
exaly +2 more sources

