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
Generating Synthetic Samples to Improve Small Sample Learni..:
, In:
2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)
,
Lin, Yao-San
;
Cheng, Wan-Ni
;
Chen, Chien-Chih
.. - p. 567-572 , 2019
Link:
https://doi.org/10.1109/IIAI-AAI.2019.00121
RT T1 <cTitle>2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)</cTitle>: T1 <Title>Generating Synthetic Samples to Improve Small Sample Learning with Mixed Numerical and Categorical Attributes</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8992789&Exemplar=1&LAN=DE A1 Lin, Yao-San A1 Cheng, Wan-Ni A1 Chen, Chien-Chih A1 Li, Der-Chiang A1 Chen, Hung-Yu YR 2019 K1 small data set K1 mega trend diffusion K1 virtual sample generation SP 567 OP 572 LK http://dx.doi.org/https://doi.org/10.1109/IIAI-AAI.2019.00121 DO https://doi.org/10.1109/IIAI-AAI.2019.00121 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
