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 10.1007/978-3-642-14055-6_3 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