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
Combining Bayesian Inference and Clustering for Transport M..:
, In:
Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science
,
Bachir, Danya
;
Khodabandelou, Ghazaleh
;
Gauthier, Vincent
.. - p. 569-584 , 2019
Link:
https://doi.org/10.1007/978-3-030-10997-4_35
RT T1
Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science
: T1
Combining Bayesian Inference and Clustering for Transport Mode Detection from Sparse and Noisy Geolocation Data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-030-10997-4_35&Exemplar=1&LAN=DE A1 Bachir, Danya A1 Khodabandelou, Ghazaleh A1 Gauthier, Vincent A1 El Yacoubi, Mounim A1 Vachon, Eric PB Springer International Publishing YR 2019 SP 569 OP 584 LK http://dx.doi.org/https://doi.org/10.1007/978-3-030-10997-4_35 DO https://doi.org/10.1007/978-3-030-10997-4_35 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)