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Stopping-Set Assisted Reinforced Belief Propagation for Decoding Short LDPC Codes

IEEE Communications Letters, 2022
The low-density parity-check (LDPC) code is chosen to be a channel coding scheme for ultra-reliable and low-latency communications (URLLC) in 5G. However, short LDPC compromises the belief propagation (BP) decoder because of the stopping set (SS) in the ...
Asif Ali Zamzami   +2 more
semanticscholar   +1 more source

On the Complexity of finding stopping set size in Tanner Graphs

open access: yesAnnual Conference on Information Sciences and Systems, 2006
The problem of determining whether a Tanner graph for a linear block code has a stopping set of a given size is shown to be NT ...
K. M. Krishnan, P. Shankar
semanticscholar   +2 more sources

Quantitative electronic stopping power from localized basis set

Physical review B, 2020
The electronic stopping power of a swift ion in matter can be obtained from ab initio calculations within time-dependent density functional theory. Most implementations rely today on a plane-wave plus pseudopotential approach, but at the expense of very ...
I. Maliyov, J. Crocombette, F. Bruneval
semanticscholar   +1 more source

Stopping Sets of Hermitian Codes

IEEE Transactions on Information Theory, 2016
Combinatorial structures called stopping sets are useful in analyzing the performance of a linear code when coupled with an iterative decoding algorithm over an erasure channel. In this paper, we consider stopping sets of Hermitian codes.
Sarah E. Anderson, Gretchen L. Matthews
openaire   +2 more sources

Stopping sets for physical-layer security

2010 IEEE Information Theory Workshop, 2010
Physical-layer security based on wiretap codes can be used to complement cryptographic applications at higher layers of the protocol stack. We assume a passive eavesdropper that has access to noise-corrupted codewords with erasures that are statistically independent to those of the legitimate communication partners.
Willie K. Harrison   +4 more
openaire   +2 more sources

Early Stopping Against Label Noise Without Validation Data

International Conference on Learning Representations
Early stopping methods in deep learning face the challenge of balancing the volume of training and validation data, especially in the presence of label noise.
Su-Qin Yuan, Lei Feng, Tongliang Liu
semanticscholar   +1 more source

Stopping Rules in Political Settings

2021
This chapter compares three rules of voice integration or ‘stopping rules’ (majority voting, unanimity, consensus) in terms of their democratic, epistemic and pragmatic value. It shows, first, how the consensus rule, whereby decisions are made without voting when nobody opposes openly, fares best at reconciling all three normative demands and, second ...
openaire   +1 more source

Predictability and stopping on lattices of sets

Probability Theory and Related Fields, 1993
As a first step in the development of a general theory of set-indexed martingales, we define predictability on a general space with respect to a filtration indexed by a lattice of sets. We prove a characterization of the predictable \(\sigma\)-algebra in terms of adapted and ``left- continuous'' processes without any form of topology for the index set.
Ivanoff, B. Gail   +2 more
openaire   +1 more source

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models

Trans. Mach. Learn. Res.
Diffusion probabilistic models have become a cornerstone of modern generative AI, yet the mechanisms underlying their generalization remain poorly understood.
Alessandro Favero   +2 more
semanticscholar   +1 more source

Instance-dependent Early Stopping

International Conference on Learning Representations
In machine learning practice, early stopping has been widely used to regularize models and can save computational costs by halting the training process when the model's performance on a validation set stops improving. However, conventional early stopping
Su-Qin Yuan   +4 more
semanticscholar   +1 more source

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