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
Particle swarm optimization for hyper-parameter selection i..:
, In:
Proceedings of the Genetic and Evolutionary Computation Conference
,
Lorenzo, Pablo Ribalta
;
Nalepa, Jakub
;
Kawulok, Michal
.. - p. 481-488 , 2017
Link:
https://dl.acm.org/doi/10.1145/3071178.3071208
RT T1
Proceedings of the Genetic and Evolutionary Computation Conference
: T1
Particle swarm optimization for hyper-parameter selection in deep neural networks
UL https://suche.suub.uni-bremen.de/peid=acm-3071208&Exemplar=1&LAN=DE A1 Lorenzo, Pablo Ribalta A1 Nalepa, Jakub A1 Kawulok, Michal A1 Ramos, Luciano Sanchez A1 Pastor, José Ranilla PB ACM YR 2017 K1 deep neural networks K1 hyper-parameter selection K1 particle swarm optimization K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Bio-inspired approaches K1 Neural networks SP 481 OP 488 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3071178.3071208 DO https://dl.acm.org/doi/10.1145/3071178.3071208 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)