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
Examining the Impact of Different K Values on the Performan..:
, In:
2023 3rd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
,
Imran, Urwah
;
Waris, Asim
;
Nayab, Maham
. - p. 1-4 , 2023
Link:
https://doi.org/10.1109/ICoDT259378.2023.10325695
RT T1 <cTitle>2023 3rd International Conference on Digital Futures and Transformative Technologies (ICoDT2)</cTitle>: T1 <Title>Examining the Impact of Different K Values on the Performance of Multiple Algorithms in K-Fold Cross-Validation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10325695&Exemplar=1&LAN=DE A1 Imran, Urwah A1 Waris, Asim A1 Nayab, Maham A1 Shafiq, Uzma YR 2023 K1 Support vector machines K1 Wrist K1 Training K1 Sensitivity K1 Computational modeling K1 Artificial neural networks K1 Electromyography K1 Cross-validation K1 classification K1 accuracy K1 K-fold K1 EMG K1 KNN K1 SVM K1 ANN K1 DT K1 machine learning K1 myoelectric SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICoDT259378.2023.10325695 DO https://doi.org/10.1109/ICoDT259378.2023.10325695 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
