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word-to-word-co-occurrence-matrix

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Ferdib-Al-Islam / gpu_parallelization

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Co-occurrence matrices act as the input to many unsupervised learning algorithms, including those that learn word embedding, and modern spectral topic models. However, the computation of these inputs often takes longer time than the inference. While much thought has been given to implementing fast learning algorithms. The co-occurrence matrix co…

cuda cuda-toolkit cuda-c gpu-parallelization word-to-word-co-occurrence-matrix
  • Updated Oct 11, 2019
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