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
Feedback Learning for Improving the Robustness of Neural Ne..:
, In:
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
,
Song, Chang
;
Wang, Zuoguan
;
Li, Hai
- p. 686-693 , 2019
Link:
https://doi.org/10.1109/ICMLA.2019.00124
RT T1
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
: T1
Feedback Learning for Improving the Robustness of Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-8999302&Exemplar=1&LAN=DE A1 Song, Chang A1 Wang, Zuoguan A1 Li, Hai YR 2019 K1 Robustness K1 Neural networks K1 Training K1 Machine learning K1 Perturbation methods K1 Indexes K1 Security K1 robustness K1 neural networks K1 decision space K1 evasion attacks K1 feedback learning SP 686 OP 693 LK http://dx.doi.org/https://doi.org/10.1109/ICMLA.2019.00124 DO https://doi.org/10.1109/ICMLA.2019.00124 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)