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
Confidence path regularization for handling label uncertain..:
, In:
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
,
Kmita, Kamil
;
Casalino, Gabriella
;
Castellano, Giovanna
.. - p. 1-8 , 2022
Link:
https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882759
RT T1
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
: T1
Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring
UL https://suche.suub.uni-bremen.de/peid=ieee-9882759&Exemplar=1&LAN=DE A1 Kmita, Kamil A1 Casalino, Gabriella A1 Castellano, Giovanna A1 Hryniewicz, Olgierd A1 Kaczmarek-Majer, Katarzyna YR 2022 SN 1558-4739 K1 Training K1 Uncertainty K1 Data analysis K1 Semisupervised learning K1 Windows K1 Remote monitoring K1 Fuzzy systems K1 semi-supervised learning K1 prediction K1 label uncertainty K1 weak learning K1 regularization K1 bipolar disorder K1 process monitoring K1 acoustic features K1 smartphones K1 intelligent data analysis SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882759 DO https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882759 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)