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
Enhancing the Performance of Bandit-based Hyperparameter Op..:
, In:
2024 IEEE 40th International Conference on Data Engineering (ICDE)
,
Chen, Yile
;
Wen, Zeyi
;
Chen, Jian
. - p. 967-980 , 2024
Link:
https://doi.org/10.1109/ICDE60146.2024.00079
RT T1
2024 IEEE 40th International Conference on Data Engineering (ICDE)
: T1
Enhancing the Performance of Bandit-based Hyperparameter Optimization
UL https://suche.suub.uni-bremen.de/peid=ieee-10598025&Exemplar=1&LAN=DE A1 Chen, Yile A1 Wen, Zeyi A1 Chen, Jian A1 Huang, Jin YR 2024 SN 2375-026X K1 Measurement K1 Training K1 Industries K1 Accuracy K1 Data analysis K1 Hyperparameter optimization K1 Data engineering K1 HPO K1 Bandit-based Hyperparameter Optimization K1 Data Sampling SP 967 OP 980 LK http://dx.doi.org/https://doi.org/10.1109/ICDE60146.2024.00079 DO https://doi.org/10.1109/ICDE60146.2024.00079 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)