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
Enhancing Accuracy: Iris Flower Classification with Ensembl..:
, In:
2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS)
,
Mani, Nishanthini
;
Murugiah, Premkumar
;
Veeraraghavan, Vethavarna
.. - p. 547-554 , 2024
Link:
https://doi.org/10.1109/ICC-ROBINS60238.2024.10534032
RT T1 <cTitle>2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS)</cTitle>: T1 <Title>Enhancing Accuracy: Iris Flower Classification with Ensemble Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10534032&Exemplar=1&LAN=DE A1 Mani, Nishanthini A1 Murugiah, Premkumar A1 Veeraraghavan, Vethavarna A1 Razia, Nuzha A1 Ramesh, Shashank YR 2024 K1 Support vector machines K1 Iris K1 Machine learning algorithms K1 Flowering plants K1 Data models K1 Classification algorithms K1 Bayes methods K1 IRIS dataset K1 KNN K1 Decision Tree K1 Random Forest K1 Logistic Regression K1 Naive Bayes K1 Ensemble Learning SP 547 OP 554 LK http://dx.doi.org/https://doi.org/10.1109/ICC-ROBINS60238.2024.10534032 DO https://doi.org/10.1109/ICC-ROBINS60238.2024.10534032 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
