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
Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Lea..:
, In:
2014 22nd International Conference on Pattern Recognition
,
O'Harney, Andrew D.
;
Marquand, Andre
;
Rubia, Katya
... - p. 3185-3190 , 2014
Link:
https://doi.org/10.1109/ICPR.2014.549
RT T1 <cTitle>2014 22nd International Conference on Pattern Recognition</cTitle>: T1 <Title>Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-6977261&Exemplar=1&LAN=DE A1 O'Harney, Andrew D. A1 Marquand, Andre A1 Rubia, Katya A1 Chantiluke, Kaylita A1 Smith, Anna A1 Cubillo, Ana A1 Blain, Camilla A1 Filippone, Maurizio YR 2014 SN 1051-4651 K1 Kernel K1 Approximation methods K1 Uncertainty K1 Monte Carlo methods K1 Convergence K1 Neuroimaging K1 Bayes methods SP 3185 OP 3190 LK http://dx.doi.org/https://doi.org/10.1109/ICPR.2014.549 DO https://doi.org/10.1109/ICPR.2014.549 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
