Titlebook: Database Systems for Advanced Applications; 24th International C Guoliang Li,Jun Yang,Yongxin Tong Conference proceedings 2019 Springer Nat

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Anemia

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一条卷发

Sparse Gradient Compression for Distributed SGD, to alleviate the staleness problem, SGC updates model weight with the accumulation of delayed gradients at local, called local update technique. The experiments over the sparse high-dimensional models and deep neural networks indicate that SGC can compress 99.99% gradients for every iteration with

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Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modelingattention gating mechanism and embed it into our model to generate the topic-level attentive vector for each topic. Finally, we reward the topic perspective with the topic-level attention for text representation. Experiments on four benchmark datasets, namely TREC-QA and WikiQA for answer selection,

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Efficient Local Search for Minimum Dominating Sets in Large Graphsrtional to the their degrees, depending on how repeatedly the area has been visited. Experimental results show that our solver significantly outperforms state-of-the-art MinDS solvers. Also we conducted several experiments to show the individual impacts of our novelties.