An accelerator for the logistic regression algorithm based on sampling on-demand

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Overview

7 Scopus Citations

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Author(s)

Jiye LIANG
Yunsheng SONG
Deyu LI
Zhiqiang WANG
Chuangyin DANG

Detail(s)

Original language	English
Article number	169102
Journal / Publication	Science China Information Sciences
Volume	63
Issue number	6
Online published	14 Apr 2020
Publication status	Published - Jun 2020

Link(s)

DOI	DOI https://doi.org/10.1007/s11432-018-9832-y Final Published version
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Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85083485055&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(b38e9b25-def6-40bf-b13f-bdf7381606b1).html

Citation Format(s)

[ RIS ] [ BibTeX ]

An accelerator for the logistic regression algorithm based on sampling on-demand. / LIANG, Jiye; SONG, Yunsheng; LI, Deyu et al.
In: Science China Information Sciences, Vol. 63, No. 6, 169102, 06.2020.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

LIANG, J, SONG, Y, LI, D, WANG, Z & DANG, C 2020, 'An accelerator for the logistic regression algorithm based on sampling on-demand', Science China Information Sciences, vol. 63, no. 6, 169102. https://doi.org/10.1007/s11432-018-9832-y

LIANG, J., SONG, Y., LI, D., WANG, Z., & DANG, C. (2020). An accelerator for the logistic regression algorithm based on sampling on-demand. Science China Information Sciences, 63(6), Article 169102. https://doi.org/10.1007/s11432-018-9832-y

LIANG J, SONG Y, LI D, WANG Z, DANG C. An accelerator for the logistic regression algorithm based on sampling on-demand. Science China Information Sciences. 2020 Jun;63(6):169102. Epub 2020 Apr 14. doi: 10.1007/s11432-018-9832-y

LIANG, Jiye ; SONG, Yunsheng ; LI, Deyu et al. / An accelerator for the logistic regression algorithm based on sampling on-demand. In: Science China Information Sciences. 2020 ; Vol. 63, No. 6.