An Efficient Best-First Derandomization Sampling Algorithm for Lattice Decoding

International Journal of Signal Processing Systems ◽

10.18178/ijsps.4.5.354-361 ◽

2016 ◽

pp. 354-361

Author(s):

Yanhua Sun ◽

◽

Xishuang Chen ◽

Ruizhe Yang ◽

Yanhua Zhang

Keyword(s):

Sampling Algorithm ◽

Lattice Decoding

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A depth-dependent derandomized sampling algorithm for lattice decoding

Automation, Mechanical and Electrical Engineering ◽

10.2495/amee141112 ◽

2014 ◽

Author(s):

X.S. Chen ◽

Y.H. Sun ◽

R.Z. Yang ◽

Y.H. Zhang

Keyword(s):

Sampling Algorithm ◽

Lattice Decoding

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Derandomized sampling algorithm for lattice decoding

2012 IEEE Information Theory Workshop ◽

10.1109/itw.2012.6404663 ◽

2012 ◽

Author(s):

Zheng Wang ◽

Cong Ling

Keyword(s):

Sampling Algorithm ◽

Lattice Decoding

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A General Importance Sampling Algorithm for Estimating Portfolio Loss Probabilities in Linear Factor Models

SSRN Electronic Journal ◽

10.2139/ssrn.2556527 ◽

2015 ◽

Author(s):

Alexandre Scott ◽

Adam Metzler

Keyword(s):

Importance Sampling ◽

Factor Models ◽

Sampling Algorithm ◽

Linear Factor ◽

General Importance ◽

Loss Probabilities ◽

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Sequential Gibbs Sampling Algorithm for Cognitive Diagnosis Models with Many Attributes

Multivariate Behavioral Research ◽

10.1080/00273171.2021.1896352 ◽

2021 ◽

pp. 1-37

Author(s):

Juntao Wang ◽

Ningzhong Shi ◽

Xue Zhang ◽

Gongjun Xu

Keyword(s):

Gibbs Sampling ◽

Cognitive Diagnosis ◽

Sampling Algorithm ◽

Cognitive Diagnosis Models ◽

Gibbs Sampling Algorithm

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An improved exact sampling algorithm for the standard normal distribution

Computational Statistics ◽

10.1007/s00180-021-01136-w ◽

2021 ◽

Author(s):

Yusong Du ◽

Baoying Fan ◽

Baodian Wei

Keyword(s):

Normal Distribution ◽

Standard Normal Distribution ◽

Sampling Algorithm ◽

Exact Sampling ◽

Standard Normal

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A Sequential Importance Sampling Algorithm for Counting Linear Extensions

Journal of Experimental Algorithmics ◽

10.1145/3385650 ◽

2020 ◽

Vol 25 ◽

pp. 1-14

Author(s):

Alathea Jensen ◽

Isabel Beichl

Keyword(s):

Importance Sampling ◽

Sequential Importance Sampling ◽

Linear Extensions ◽

Sampling Algorithm

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Gibbs Parameter Sampling Algorithm Based on Finite Mixture Model of Random Point Pattern

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9326588 ◽

2020 ◽

Author(s):

Zhi Wang ◽

Wei-feng Liu ◽

Yu-xin Ding ◽

Zi-long Huang

Keyword(s):

Mixture Model ◽

Finite Mixture Model ◽

Finite Mixture ◽

Random Point ◽

Point Pattern ◽

Sampling Algorithm

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High Frequency Edge Information-based Sampling Algorithm for Multi-scale Block Compressive Sensing

Journal of Physics Conference Series ◽

10.1088/1742-6596/1815/1/012022 ◽

2021 ◽

Vol 1815 (1) ◽

pp. 012022

Author(s):

Faqiang Zhao ◽

Zejun Song ◽

Jiayi Li ◽

Binbin Zhu

Keyword(s):

Compressive Sensing ◽

High Frequency ◽

Edge Information ◽

Sampling Algorithm ◽

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A K-Means Clustering-Based Multiple Importance Sampling Algorithm for Integral Global Optimization

Journal of the Operations Research Society of China ◽

10.1007/s40305-021-00353-w ◽

2021 ◽

Author(s):

Chen Wang ◽

Dong-Hua Wu

Keyword(s):

Global Optimization ◽

Importance Sampling ◽

Sampling Algorithm ◽

Multiple Importance Sampling

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Online identifying elephant flows through a scalable non-uniform sampling algorithm

2008 11th IEEE International Conference on Communication Technology ◽

10.1109/icct.2008.4716104 ◽

2008 ◽

Author(s):

Cheng Guang ◽

Gong Jian

Keyword(s):

Sampling Algorithm ◽

Uniform Sampling ◽

Non Uniform Sampling

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