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
Toward the Improvement of Probabilistic Classifiers Using O..:
, In:
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
,
Apicella, Andrea
;
Corazza, Anna
;
Isgro, Francesco
. - p. 664-669 , 2023
Link:
https://doi.org/10.1109/MetroXRAINE58569.2023.10405834
RT T1 <cTitle>2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)</cTitle>: T1 <Title>Toward the Improvement of Probabilistic Classifiers Using Ontologies</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10405834&Exemplar=1&LAN=DE A1 Apicella, Andrea A1 Corazza, Anna A1 Isgro, Francesco A1 Prevete, Roberto YR 2023 K1 Neural networks K1 Pipelines K1 Training data K1 Neural engineering K1 Ontologies K1 Probabilistic logic K1 Task analysis K1 ontological knowledge K1 ontology K1 classification K1 probabilistic classifier SP 664 OP 669 LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE58569.2023.10405834 DO https://doi.org/10.1109/MetroXRAINE58569.2023.10405834 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
