Number of the records: 1
Possibilistic Graphical Models and Compositional Models
- 1.
SYSNO ASEP 0346776 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Possibilistic Graphical Models and Compositional Models Author(s) Vejnarová, Jiřina (UTIA-B) RID Source Title Proceedigs of 13h International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'10, I.. - Berlin Heidelberg : Springer, 2010 / Hullermaier Eyke ; Kruse Rudolf ; Hoffman Frank - ISSN 1865-0929 - ISBN 978-3-642-14054-9 Pages s. 21-30 Number of pages 10 s. Action 13h International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'10 Event date 28.06.2010-02.07.2010 VEvent location Dortmund Country DE - Germany Event type WRD Language eng - English Country DE - Germany Keywords possibility distributions ; graphical models ; triangular norms Subject RIV BA - General Mathematics R&D Projects GA201/09/1891 GA ČR - Czech Science Foundation (CSF) IAA100750603 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000290641900003 EID SCOPUS 84880498280 DOI Annotation We overview three kinds of Possibilistic graphical models (based on directed acyclic graphs) and present, how they can be expressed by means of non-graphical approach to multidimensional possibilistic models, so-called compositional models. We show that any of these graphical models can be transformed into a compositional model, but not vice versa. The only exception are directed possibilistic graphs, which are as general as so-called prefect sequences of low-dimensional distributions. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2011
Number of the records: 1