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
Towards Meta-Learning for Multi-Target Regression Problems:
, In:
2019 8th Brazilian Conference on Intelligent Systems (BRACIS)
,
Aguiar, Gabriel J.
;
Santana, Everton J.
;
Mastelini, Saulo M.
.. - p. 377-382 , 2019
Link:
https://doi.org/10.1109/BRACIS.2019.00073
RT T1 <cTitle>2019 8th Brazilian Conference on Intelligent Systems (BRACIS)</cTitle>: T1 <Title>Towards Meta-Learning for Multi-Target Regression Problems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8923718&Exemplar=1&LAN=DE A1 Aguiar, Gabriel J. A1 Santana, Everton J. A1 Mastelini, Saulo M. A1 Mantovani, Rafael G. A1 Barbon, Sylvio YR 2019 SN 2643-6264 K1 Task analysis K1 Prediction algorithms K1 Correlation K1 Feature extraction K1 Forestry K1 Stacking K1 Vegetation K1 Multi-target, Regression, Meta-learning SP 377 OP 382 LK http://dx.doi.org/https://doi.org/10.1109/BRACIS.2019.00073 DO https://doi.org/10.1109/BRACIS.2019.00073 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
