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
Latin hypercube initialization strategy for design space ex..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference Companion
,
Medeiros, Heitor R.
;
Izidio, Diogo M. F.
;
Ferreira, Antonyus P. do A.
. - p. 295-296 , 2019
Link:
https://dl.acm.org/doi/10.1145/3319619.3321922
RT T1 <cTitle>Proceedings of the Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>Latin hypercube initialization strategy for design space exploration of deep neural network architectures</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3321922&Exemplar=1&LAN=DE A1 Medeiros, Heitor R. A1 Izidio, Diogo M. F. A1 Ferreira, Antonyus P. do A. A1 da S. Barros, Edna N. PB ACM YR 2019 K1 architecture search K1 deep learning K1 initialization strategies K1 latin hypercube K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Bio-inspired approaches K1 Genetic algorithms K1 Neural networks SP 295 OP 296 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3319619.3321922 DO https://dl.acm.org/doi/10.1145/3319619.3321922 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
