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Learning AMP Chain Graphs under Faithfulness
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (ADIT)
2012 (English)In: Proceedings of the 6th European Workshopon Probabilistic Graphical Models Granada (Spain), 19 - 21 September, 2012 / [ed] Andres Cano, Manuel G6mez-Olmedo and Thomas D. Nielsen, DECSAI, University of Granada , 2012, 251-258 p.Conference paper, Published paper (Other academic)
Abstract [en]

This paper deals with chain graphs under the alternative Andersson-Madigan-Perlman(AMP) interpretation. In particular, we present a constraint based algorithm for learningan AMP chain graph a given probability distribution is faithful to. We also show that theextension of Meek's conjecture to AMP chain graphs does not hold, which compromises thedevelopment of ecient and correct score+search learning algorithms under assumptionsweaker than faithfulness.

Place, publisher, year, edition, pages
DECSAI, University of Granada , 2012. 251-258 p.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-80305ISBN: 978-84-15536-57-4 (print)Archive number: GR-2569/2012OAI: oai:DiVA.org:liu-80305DiVA: diva2:546465
Conference
Sixth European Workshop on Probabilistic Graphical Models (PGM 2012), 19-21 September 2012, Granada, Spain
Available from: 2012-08-23 Created: 2012-08-23 Last updated: 2017-02-28Bibliographically approved

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Learning AMP Chain Graphs under Faithfulness(510 kB)11 downloads
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2831974bc9852da985e2b2518173cbbadfd22f0369f35e0b70ac88fb69cff9b9f2842ba19c1b472a9841ba29cd85ae417ae69e8a698291a60c59fc0e6778d25b
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Authority records BETA

Peña, Jose M.

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf