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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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References
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
Download Full-text
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
Download Full-text
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
◽
Portfolio Loss
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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
Download Full-text
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
◽
Multi Scale
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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
Download Full-text
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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