Results 91 to 100 of about 1,107,982 (188)
Accuracy Bounds for Belief Propagation
Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007)
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Non-Markov quantum belief propagation [PDF]
We provide a rigorous proof of the approximate convergence of sliding-window quantum belief-propagation as outlined heuristically in the work of Bilgin and Poulin (Ref. [1]), in the absence of the quantum Markov property.
Verdon, Guillaume +2 more
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Primal View on Belief Propagation
It is known that fixed points of loopy belief propagation (BP) correspond to stationary points of the Bethe variational problem, where we minimize the Bethe free energy subject to normalization and marginalization constraints. Unfortunately, this does not entirely explain BP because BP is a dual rather than primal algorithm to solve the Bethe ...
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A hardware architecture is presented to decode (N, K) polar codes based on a low-density parity-check code-like decoding method. By applying suitable pruning techniques to the dense graph of the polar code, the decoder architectures are optimized using ...
Dinesh Kumar Devadoss +1 more
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Local stability of Belief Propagation algorithm with multiple fixed points
International audienceA number of problems in statistical physics and computer science can be expressed as the computation of marginal probabilities over a Markov random field.
Martin, Victorin +2 more
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Iterative Soft-Decision Decoding of Binary Cyclic Codes
Binary cyclic codes achieve good error correction performance and allow the implementation of very simpleencoder and decoder circuits. Among them, BCH codesrepresent a very important class of t-error correcting codes, with known structural properties and
Marco Baldi +2 more
doaj
INTRODUCTION TO THE SEMANTICS OF BELIEF AND COMMON BELIEF [PDF]
We provide an introduction to interactive belief systems from a qualitative and semantic point of view. Properties of belief hierarchies are formulated locally.
Klaus Nehring, Giacomo Bonanno
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Privacy-preserving belief propagation and sampling
We provide provably privacy-preserving versions of belief propagation, Gibbs sampling, and other local algorithms — distributed multiparty protocols in which each party or vertex learns only its final local value, and absolutely nothing else.
Michael Kearns +2 more
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The normativity of belief [PDF]
This is a survey of recent debates concerning the normativity of belief. We explain what the thesis that belief is normative involves, consider arguments for and against that thesis, and explore its bearing on debates in ...
Whiting, Daniel, McHugh, Conor
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Low-Complexity Non-Binary LDPC and Modulation Schemes communicating over MIMO Channels
In this contribution, Pearl’s belief propagation (BP) algorithm is invoked for constructing a belief network, which is employed for developing a joint detection aided transmit diversity scheme and a non-binary LDPC decoder constructed over a finite field
Hanzo, L., Guo, F.
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