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
Tree-Based Machine Learning Models with Optuna in Predictin..:
Jung-Pin Lai
;
Ying-Lei Lin
;
Ho-Chuan Lin
...
https://www.mdpi.com/2072-666X/14/2/265. , 2023
Link:
https://doi.org/10.3390/mi14020265
RT Journal T1
Tree-Based Machine Learning Models with Optuna in Predicting Impedance Values for Circuit Analysis
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:491cdb1909354190b22af590ad29fee4&Exemplar=1&LAN=DE A1 Jung-Pin Lai A1 Ying-Lei Lin A1 Ho-Chuan Lin A1 Chih-Yuan Shih A1 Yu-Po Wang A1 Ping-Feng Pai PB MDPI AG YR 2023 K1 integrated circuit K1 packaging and testing K1 machine learning K1 Optuna K1 Mechanical engineering and machinery K1 TJ1-1570 JF https://www.mdpi.com/2072-666X/14/2/265 LK http://dx.doi.org/https://doi.org/10.3390/mi14020265 DO https://doi.org/10.3390/mi14020265 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)