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
More Machine Learning for Less: Comparing Data Generation S..:
, In:
2019 IEEE Symposium Series on Computational Intelligence (SSCI)
,
Samsonov, Vladimir
;
Lipp, Johannes
;
Noodt, Philipp
.. - p. 799-807 , 2019
Link:
https://doi.org/10.1109/SSCI44817.2019.9002663
RT T1
2019 IEEE Symposium Series on Computational Intelligence (SSCI)
: T1
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing
UL https://suche.suub.uni-bremen.de/peid=ieee-9002663&Exemplar=1&LAN=DE A1 Samsonov, Vladimir A1 Lipp, Johannes A1 Noodt, Philipp A1 Solvay, Alexia Fenollar A1 Meisen, Tobias YR 2019 K1 Data models K1 Training K1 Mechanical engineering K1 Machine learning K1 Manufacturing K1 Training data K1 Predictive models K1 active learning K1 machine learning K1 design of experiments K1 data generation K1 adaptive sampling SP 799 OP 807 LK http://dx.doi.org/https://doi.org/10.1109/SSCI44817.2019.9002663 DO https://doi.org/10.1109/SSCI44817.2019.9002663 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)