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
Interpretable machine learning and generative modeling with..
advancing methodology from the perspective of statistics
Blesch, Kristin
, 2024
Link:
https://doi.org/10.26092/elib/2929
RT Book, Whole T1
Interpretable machine learning and generative modeling with mixed tabular data
:
advancing methodology from the perspective of statistics
UL https://suche.suub.uni-bremen.de/peid=B188642489&Exemplar=1&LAN=DE A1 Blesch, Kristin PP Bremen YR 2024 NO 1 Online-Ressource (xi, 125 Blätter) : Illustrationen LK http://dx.doi.org/https://doi.org/10.26092/elib/2929 DO https://doi.org/10.26092/elib/2929 LK http://dx.doi.org/https://nbn-resolving.org/urn:nbn:de:gbv:46-elib78471 DO https://nbn-resolving.org/urn:nbn:de:gbv:46-elib78471 LK http://dx.doi.org/10.26092/elib/2929 DO 10.26092/elib/2929 LK http://https://doi.org/10.26092/elib/2929 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)