文献
J-GLOBAL ID:201802215798318051
整理番号:18A2117441
Gauss雑音に対するIAとIFの平均の確率分布とその異常検出への応用【JST・京大機械翻訳】
Probability Distributions of Means of IA and IF for Gaussian Noise and Its Application to an Anomaly Detection
著者 (5件):
Sakai Kazuki
(Department of Information Science and Control Engineering, Nagaoka University of Technology, Niigata 940-2188, Japan)
,
Kaneyama Masato
(Department of Physics, Graduate School of Science, Osaka City University, Osaka 558-8585, Japan)
,
Oohara Ken-ichi
(Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan)
,
Takahashi Hirotaka
(Department of Information and Management Systems Engineering, Nagaoka University of Technology, Niigata 940-2188, Japan)
,
Takahashi Hirotaka
(Earthquake Research Institute, The University of Tokyo, Tokyo 113-0032, Japan)
資料名:
Advances in Data Science and Adaptive Analysis
(Advances in Data Science and Adaptive Analysis)
巻:
10
号:
3
ページ:
1850006
発行年:
2018年
JST資料番号:
W3704A
ISSN:
2424-922X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
シンガポール (SGP)
言語:
英語 (EN)