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Gambling with Source Code

Computer, 2016
Tech companies required to comply with controversial regulations in foreign countries as a cost of doing business there must trade off the potential economic benefits with the risk of long-term harm.
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Runlength codes from source codes

IEEE Transactions on Information Theory, 1991
A class of binary runlength codes, also known as (d,k) codes, is analyzed. These codes are developed by constructing a lossless source code that maps runlengths into unconstrained binary sequences. The source code is constructed for the maxentropic distribution on runlengths.
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Source coding with feedforward: gaussian sources

International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2004
This paper describes the source coding of the information signals with feedforward Gaussian sources. A stationary memoryless Gaussian source with zero-mean and variance, and with mean squared error as the distortion measure, gives a deterministic scheme that achieves the optimal rate-distortion bound using simple uniform scalar quantizers.
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Deep Learning for Source Code Modeling and Generation

ACM Computing Surveys, 2021
Muhammad Ali Babar   +2 more
exaly  

Distributed source coding

Signal Processing, 2006
Zixiang Xiong   +2 more
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Source Code

Computer, 1987
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A Survey of Automatic Source Code Summarization

Symmetry, 2022
Qinglei Zhou   +2 more
exaly  

Automatic detection of Long Method and God Class code smells through neural source code embeddings

Expert Systems With Applications, 2022
Göran Sladić   +2 more
exaly  

CodeGRU: Context-aware deep learning with gated recurrent unit for source code modeling

Information and Software Technology, 2020
Zhiqiu Huang   +2 more
exaly  

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