bibtype C - Conference Paper (international conference)
ARLID 0381536
utime 20240103201319.2
mtime 20121031235959.9
title (primary) (eng) Integer linear programming approach to learning Bayesian network structure: towards the essential graph
specification
page_count 8 s.
media_type E
serial
ARLID cav_un_epca*0381535
ISBN 978-84-15536-57-4
title Proceedings of the 6th European Workshop on Graphical Models
page_num 307-314
publisher
place Granada
name DESCAI, University of Granada
year 2012
keyword learning Bayesian network structure
keyword characteristic imset
keyword essential graph
author (primary)
ARLID cav_un_auth*0101202
name1 Studený
name2 Milan
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2012/MTR/studeny-integer linear programming approach to learning Bayesian network structure towards the essential graph.pdf
cas_special
project
project_id GA201/08/0539
agency GA ČR
ARLID cav_un_auth*0239648
abstract (eng) The basic idea of a geometric approach to learning a Bayesian network (BN) structure is to represent every BN structure by a certain vector. This may allow one to re-formulate the task of finding the global maximum of a score over BN structures as an integer linear programming (ILP) problem. Suitable such a zero-one vector representative is the characteristic imset, introduced in 2010. In this paper, extensions of characteristic imsets are considered which additionally encode chain graphs without flags equivalent to acyclic directed graphs. The main contribution is the polyhedral description of the respective domain of the ILP problem. The advantage of this approach is that, as a by-product of the ILP optimization procedure, one may get the essential graph, which is a traditional graphical BN representative.
action
ARLID cav_un_auth*0284223
name 6th European Workshop on Probabilistic Graphical Models (PGM)
place Granada
dates 19.09.2012-21.09.2012
country ES
reportyear 2013
RIV BA
num_of_auth 1
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0211982
arlyear 2012
mrcbU63 cav_un_epca*0381535 Proceedings of the 6th European Workshop on Graphical Models 978-84-15536-57-4 307 314 Granada DESCAI, University of Granada 2012