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
Decomposed-Representation based Causality Estimating Model:
, In:
Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering
,
Han, Fengkai
;
Chen, Jianhui
;
Zhou, Haiyan
- p. 236-241 , 2024
Link:
https://dl.acm.org/doi/10.1145/3672758.3672797
RT T1
Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering
: T1
Decomposed-Representation based Causality Estimating Model
UL https://suche.suub.uni-bremen.de/peid=acm-3672797&Exemplar=1&LAN=DE A1 Han, Fengkai A1 Chen, Jianhui A1 Zhou, Haiyan PB ACM YR 2024 K1 Computing methodologies K1 Artificial intelligence K1 Knowledge representation and reasoning K1 Causal reasoning and diagnostics SP 236 OP 241 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3672758.3672797 DO https://dl.acm.org/doi/10.1145/3672758.3672797 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)