Results 261 to 270 of about 4,499,855 (300)
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On the equivalence of generalized concatenated codes and generalized error location codes
IEEE Transactions on Information Theory, 2000Summary: We show that the generator matrix of a generalized concatenated code (GCC code) of order \(L\) consists of \(L\) submatrices, where the \(l\)th submatrix is the Kronecker product of the generator matrices of the \(l\)th inner code and the \(l\)th outer code.
Johannes Maucher +2 more
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Circuits, Systems, and Signal Processing, 2015
Unary coding is useful, but it is redundant in its standard form. It can be seen as spatial coding where the value of the number is determined by its place in an array as is true in the generation of neural sequences in songbirds. Motivated by the biological finding that several neurons in the vicinity represent the same number, we propose a variant of
openaire +1 more source
Unary coding is useful, but it is redundant in its standard form. It can be seen as spatial coding where the value of the number is determined by its place in an array as is true in the generation of neural sequences in songbirds. Motivated by the biological finding that several neurons in the vicinity represent the same number, we propose a variant of
openaire +1 more source
Proceedings of the 10th ACM SIGACT-SIGPLAN symposium on Principles of programming languages - POPL '83, 1983
Compiler writers facea bleak future---soon everyone will be using Ada on the Nebula Architecture and there will be no further need for our services. Luckily, it appears to be possible to recycle compiler writers by encouraging them to build circuit design tools (Silicon Compilers).
openaire +2 more sources
Compiler writers facea bleak future---soon everyone will be using Ada on the Nebula Architecture and there will be no further need for our services. Luckily, it appears to be possible to recycle compiler writers by encouraging them to build circuit design tools (Silicon Compilers).
openaire +2 more sources
Out of the BLEU: How should we assess quality of the Code Generation models?
Journal of Systems and Software, 2023Mikhail Evtikhiev, Egor Bogomolov
exaly
CoreGen: Contextualized Code Representation Learning for Commit Message Generation
Neurocomputing, 2021Wai Lam, Zenglin Xu
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MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation
IEEE Transactions on Software Engineering, 2023Carolyn Jane Anderson +2 more
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SeCNN: A semantic CNN parser for code comment generation
Journal of Systems and Software, 2021Xiang Chen, Yonghao Wu, Xiang Chen
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Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges
ACM Computing Surveys, 2021Muhammad Ihtisham Babar +2 more
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