Polyhedral aspects of score equivalence in Bayesian network structure learning

Cussens, James orcid.org/0000-0002-1363-2336, Haws, David and Studený, Milan (2017) Polyhedral aspects of score equivalence in Bayesian network structure learning. Mathematical Programming. pp. 285-324. ISSN 0025-5610

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society, 2016. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Dates:
  • Published: July 2017
  • Accepted: July 2017
  • Published (online): July 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 02 Dec 2016 09:40
Last Modified: 19 Sep 2021 10:41
Published Version: https://doi.org/10.1007/s10107-016-1087-2
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1007/s10107-016-1087-2
Related URLs:

Download

Filename: IJA_S_16_00480.pdf

Description: IJA-S-16-00480

Share / Export

Statistics