文献
J-GLOBAL ID:202202286272229531
整理番号:22A0570929
潜在因子分析のための調整確率勾配降下【JST・京大機械翻訳】
Adjusted stochastic gradient descent for latent factor analysis
著者 (4件):
Li Qing
(Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China)
,
Li Qing
(College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
,
Xiong Diwen
(Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China)
,
Shang Mingsheng
(Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China)
資料名:
Information Sciences
(Information Sciences)
巻:
588
ページ:
196-213
発行年:
2022年
JST資料番号:
D0636A
ISSN:
0020-0255
CODEN:
ISIJBC
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)