I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Stock Volatility Forecast Base on Comparative Learning and ..:
, In:
2022 the 5th International Conference on Machine Vision and Applications (ICMVA)
,
Du, Yuxiao
;
Li, Qinyu
;
Zhang, Zeyu
. - p. 99-103 , 2022
Link:
https://dl.acm.org/doi/10.1145/3523111.3523126
RT T1 <cTitle>2022 the 5th International Conference on Machine Vision and Applications (ICMVA)</cTitle>: T1 <Title>Stock Volatility Forecast Base on Comparative Learning and Autoencoder Framework</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3523126&Exemplar=1&LAN=DE A1 Du, Yuxiao A1 Li, Qinyu A1 Zhang, Zeyu A1 Liu, Yuxin PB ACM YR 2022 K1 CNN K1 LSTN K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 99 OP 103 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3523111.3523126 DO https://dl.acm.org/doi/10.1145/3523111.3523126 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
