Improving Data Quality through Deep Learning and Statistical Models

Autor: Dai, Wei, Yoshigoe, Kenji, Parsley, William

Publikováno v: Dai, Wei, Kenji Yoshigoe, and William Parsley. "Improving Data Quality Through Deep Learning and Statistical Models." In Information Technology-New Generations, pp. 515-522. Springer, Cham, 2018

Traditional data quality control methods are based on users experience or previously established business rules, and this limits performance in addition to being a very time consuming process with lower than desirable accuracy. Utilizing deep learnin

Externí odkaz: http://arxiv.org/abs/1810.07132

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Characterization of the Burst Stabilization Protocol for the RR/RR CICQ Switch

Autor: Gunther, Neil J., Christensen, Kenneth J., Yoshigoe, Kenji

Input buffered switches with Virtual Output Queueing (VOQ) can be unstable when presented with unbalanced loads. Existing scheduling algorithms, including iSLIP for Input Queued (IQ) switches and Round Robin (RR) for Combined Input and Crossbar Queue

Externí odkaz: http://arxiv.org/abs/cs/0403029

L-PowerGraph: a lightweight distributed graph-parallel communication mechanism.

Autor: Zhao, Yue¹ (AUTHOR) yxzhao0@gmail.com, Yoshigoe, Kenji² (AUTHOR), Xie, Mengjun² (AUTHOR), Bian, Jiang³ (AUTHOR), Xiong, Ke⁴ (AUTHOR)

Publikováno v: Journal of Supercomputing. Mar2020, Vol. 76 Issue 3, p1850-1879. 30p.

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