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
An empirical overview of nonlinearity and overfitting in ma..:
Peng, Yaohao
;
Nagata, Mateus Hiro
0960-0779. , 2020
Link:
https://hdl.handle.net/20.500.12010/11217
RT Journal T1
An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data
UL https://suche.suub.uni-bremen.de/peid=base-ftunivbogotajtl:oai:expeditiorepositorio.utadeo.edu.co:20.500.12010_11217&Exemplar=1&LAN=DE A1 Peng, Yaohao A1 Nagata, Mateus Hiro PB Chaos, Solitons and Fractals YR 2020 K1 Predicción series de tiempo K1 Síndrome respiratorio agudo grave K1 COVID-19 K1 SARS-CoV-2 K1 Coronavirus K1 Bias-variance dilemma K1 Time series prediction K1 Support vector machine K1 Statistical learning K1 Hyperparameters and chaos K1 Epidemic spreading JF 0960-0779 LK http://dx.doi.org/https://hdl.handle.net/20.500.12010/11217 DO https://hdl.handle.net/20.500.12010/11217 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)