Graphical model: Difference between revisions

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|year=2009
|pages= 1208
|isbn=978-0-262-01319-32
|doi=
|accessdate=
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| year = 2006
| url = https://www.springer.com/us/book/9780387310732
| isbn=978-0-387-31073-82
| chapter= Chapter 8. Graphical Models
| chapterurl=https://www.microsoft.com/en-us/research/wp-content/uploads/2016/05/Bishop-PRML-sample.pdf
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|author=Cowell, Robert G.
|author2=[[Philip Dawid|Dawid, A. Philip]] |author3=Lauritzen, Steffen L. |author4=[[David Spiegelhalter|Spiegelhalter, David J.]]
|title=Probabilistic networks and expert systems |publisher=Springer |___location=Berlin |year=1999 |pages= |isbn=978-0-387-98767-35 |doi= |accessdate= |mr=1697175 |ref=cowell }} A more advanced and statistically oriented book
* {{cite book |author=Jensen, Finn |title=An introduction to Bayesian networks |publisher=Springer |___location=Berlin |year=1996 |pages= |isbn=978-0-387-91502-89 |doi= |accessdate=}}
* {{Cite book
|first=Judea |last=Pearl |authorlink = Judea Pearl
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| publisher = [[Morgan Kaufmann]]
| mr = 0965765
|isbn = 978-1-55860-479-07
}} A computational reasoning approach, where the relationships between graphs and probabilities were formally introduced.
 
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}}
*{{Cite journal | last1 = Jordan | first1 = M. I. | authorlink=Michael I. Jordan| doi = 10.1214/088342304000000026 | title = Graphical Models | journal = Statistical Science | volume = 19 | pages = 140–155| year = 2004 | pmid = | pmc = }}
*{{Cite journal|last=Ghahramani|first=Zoubin|date=May 2015|title=Probabilistic machine learning and artificial intelligence|url=https://www.nature.com/articles/nature14541|journal=Nature|language=English|volume=521|issue=7553|pages= 452–459|doi=10.1038/nature14541|pmid=26017444|via=}}
 
===Other===