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Stochastic computing
Known as:
Stochastic calculator
, Stochastic decoding
Stochastic computing is a collection of techniques that represent continuous values by streams of random bits. Complex computations can then be…
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Related topics
Related topics
18 relations
Adder (electronics)
Analog computer
Arithmetic logic unit
Belief propagation
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Broader (1)
History of computing hardware
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Efficient Algorithms for Stochastic Decoding of LDPC Codes
Kuo-Lun Huang
2016
Corpus ID: 62969829
Efficient Algorithms for Stochastic Decoding of LDPC Codes by Kuo-Lun Huang Doctor of Philosophy in Electrical and Computer…
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2013
2013
Robust and Energy Efficient Multimedia Systems via Likelihood Processing
R. Abdallah
,
Naresh R Shanbhag
IEEE transactions on multimedia
2013
Corpus ID: 5942317
This paper presents likelihood processing (LP) for designing robust and energy-efficient multimedia systems in the presence of…
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2012
2012
Low-Complexity Probability Generation Algorithm for Stochastic Decoding of Non-binary LDPC Codes
Bao-Mao Pang
,
Hao-Shan Shi
2012
Corpus ID: 202105777
Stochastic decoding algorithms for non-binary LDPC codes have good performance,but high computational complexity in probability…
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2012
2012
Joint Stochastic Decoding of LDPC Codes and Partial-Response Channels
S. Tehrani
,
P. Siegel
,
Shie Mannor
,
W. Gross
IEEE Workshop on Signal Processing Systems
2012
Corpus ID: 184036
This paper proposes the application of the stochastic decoding approach for joint decoding of Low-Density Parity-Check (LDPC…
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2011
2011
Markov chain Monte Carlo over Model Structures
Nicos Angelopoulos
,
J. Cussens
2011
Corpus ID: 14602611
Introduction MCMCMS implements a generic framework for constructing Markov chains. It can be used to perform statistical machine…
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2007
2007
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
Jianzhong Chen
,
S. Muggleton
,
Jose Santos
Mining and Learning with Graphs
2007
Corpus ID: 17278026
We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program…
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2007
2007
Applying MLL to ILP
D. Dowe
,
C. Ferri
2007
Corpus ID: 17248028
In Inductive Logic Programming (ILP), since logic is a complete (universal) language, infinitely many possible hypotheses are…
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Review
2007
Review
2007
Stochastic Logic Programs: A Tutorial
L. Getoor
,
B. Taskar
2007
Corpus ID: 63366731
This chapter contains sections titled: Introduction, Mixing Deterministic and Probabilistic Choice, Stochastic Grammars…
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2006
2006
A Revised Comparison of Bayesian Logic Programs and Stochastic Logic Programs ?
Jianzhong Chen
,
S. Muggleton
2006
Corpus ID: 14622366
Probabilistic logic learning integrates three underlying constituents – statistical learning and probabilistic reasoning with…
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2002
2002
Relational Data Learning
Yuan Qi
2002
Corpus ID: 15475938
The past decade has witnessed many new theories and applications for statistical machine learning. However, most of statistical…
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