Comparing hypotheses about sequential data: A Bayesian approach and its applications

DOI:	https://doi.org/10.1007/978-3-319-71273-4_30
URL:	https://link.springer.com/chapter/10.1007/978-3-31...
Document Type:	Conference or workshop publication
Year of publication:	2017
Book title:	Machine Learning and Knowledge Discovery in Databases : European conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, proceedings. Part 3
The title of a journal, publication series:	Lecture Notes in Computer Science
Volume:	10536
Page range:	354-357
Conference title:	ECML PKDD 2017
Location of the conference venue:	Skopje, Macedonia
Date of the conference:	18.-22.09.2017
Publisher:	Altun, Yasemin ; Das, Kamalika ; Mielikäinen, Taneli ; Malerba, Donato ; Stefanowski, Jerzy ; Read, Jesse ; Žitnik, Marinka ; Ceci, Michelangelo ; Džeroski, Sašo
Place of publication:	Berlin [u.a.]
Publishing house:	Springer
ISBN:	978-3-319-71272-7 , 978-3-319-71273-4
ISSN:	0302-9743 , 1611-3349
Publication language:	English
Institution:	Business School > Data Science in the Economic and Social Sciences (Strohmaier, 2022-)
Subject:	004 Computer science, internet 330 Economics

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.

BASE: Lemmerich, Florian ; Singer, Philipp ; Becker, Martin ; Espín-Noboa, Lisette ; Dimitrov, Dimitar ; Helic, Denis ; Hotho, Andreas ; Strohmaier, Markus

Google Scholar: Lemmerich, Florian ; Singer, Philipp ; Becker, Martin ; Espín-Noboa, Lisette ; Dimitrov, Dimitar ; Helic, Denis ; Hotho, Andreas ; Strohmaier, Markus

ORCID: Lemmerich, Florian, Singer, Philipp, Becker, Martin, Espín-Noboa, Lisette, Dimitrov, Dimitar, Helic, Denis, Hotho, Andreas and Strohmaier, Markus

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