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
Predict the Game Analysis of Cricket Match Winning Using K-..:
, In:
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
,
Rajesh, R Y.
;
Sindhu, G.
- p. 685-689 , 2022
Link:
https://doi.org/10.1109/ICAC3N56670.2022.10074193
RT T1 <cTitle>2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)</cTitle>: T1 <Title>Predict the Game Analysis of Cricket Match Winning Using K-Nearest Neighbor and Compare Prediction Accuracy Over Support Vector Machine</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10074193&Exemplar=1&LAN=DE A1 Rajesh, R Y. A1 Sindhu, G. YR 2022 K1 Support vector machines K1 Machine learning algorithms K1 Games K1 Machine learning K1 Prediction algorithms K1 Classification algorithms K1 Novel Support Vector Machine K1 Game Analysis K1 Machine Learning K1 K-Nearest Neighbor Algorithm K1 Classification SP 685 OP 689 LK http://dx.doi.org/https://doi.org/10.1109/ICAC3N56670.2022.10074193 DO https://doi.org/10.1109/ICAC3N56670.2022.10074193 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
