文献
J-GLOBAL ID:202202237713408046
整理番号:22A0951951
ビッグデータおよびHPCフレームワークに関する確率的勾配降下ベースサポートベクトルマシン訓練最適化【JST・京大機械翻訳】
Stochastic gradient descent-based support vector machines training optimization on Big Data and HPC frameworks
著者 (12件):
Abeykoon Vibhatha
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Fox Geoffrey
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Kim Minje
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Ekanayake Saliya
(Performance and Algorithm Research, Lawrence Berkeley National Laboratory, Berkeley, California, USA)
,
Kamburugamuve Supun
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Govindarajan Kannan
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Wickramasinghe Pulasthi
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Perera Niranda
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Widanage Chathura
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Uyar Ahmet
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Gunduz Gurhan
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
,
Akkas Selahatin
(Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, Indiana, USA)
資料名:
Concurrency and Computation: Practice & Experience
(Concurrency and Computation: Practice & Experience)
巻:
34
号:
8
ページ:
e6292
発行年:
2022年
JST資料番号:
W2542A
ISSN:
1532-0626
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)