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- aggregation classification "C1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 2968524.bibtex.
- aggregation hasFormat 2968524.csv.
- aggregation hasFormat 2968524.dc.
- aggregation hasFormat 2968524.didl.
- aggregation hasFormat 2968524.doc.
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- aggregation isPartOf urn:isbn:9781614990970.
- aggregation isPartOf urn:isbn:9781614990987.
- aggregation language "eng".
- aggregation publisher "IOS Press".
- aggregation rights "I have retained and own the full copyright for this publication".
- aggregation subject "Mathematics and Statistics".
- aggregation title "Recent advances in imprecise-probabilistic graphical models".
- aggregation abstract "We summarise and provide pointers to recent advances in inference and identification for specific types of probabilistic graphical models using imprecise probabilities. Robust inferences can be made in so-called credal networks when the local models attached to their nodes are imprecisely specified as conditional lower previsions, by using exact algorithms whose complexity is comparable to that for the precise-probabilistic counterparts.".
- aggregation authorList BK115445.
- aggregation endPage "32".
- aggregation startPage "27".
- aggregation volume "242".
- aggregation aggregates 2968556.
- aggregation isDescribedBy 2968524.
- aggregation similarTo 978-1-61499-098-7-27.
- aggregation similarTo LU-2968524.