A Geometric Approach to Learning BN Structures

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SYSNO ASEP	0311959
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	A Geometric Approach to Learning BN Structures
Title	Geometrický přístup k učení BN struktur
Author(s)	Studený, Milan (UTIA-B)_{RID, ORCID} Vomlel, Jiří (UTIA-B)_{RID, ORCID}
Source Title	Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08). - Aalborg : Aalborg University, 2008 / Jaeger Manfred ; Nielsen Thomas D.
Pages	s. 281-288
Number of pages	8 s.
Action	the Fourth European Workshop on Probabilistic Graphical Models (PGM'08)
Event date	17.09.2008-19.09.2008
VEvent location	Hirtshals
Country	DK - Denmark
Event type	EUR
Language	eng - English
Country	DK - Denmark
Keywords	Bayesian network ; machine learning
Subject RIV	BA - General Mathematics
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GA201/08/0539 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
Annotation	The main result of the paper is that the set of standard imsets is the set of vertices (= extreme points) of a certain polytope. Motivated by the geometric view, we introduce the concept of the geometric neighborhood for standard imsets, and, consequently, for BN structures.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2009

Number of the records: 1