Statistical relational learning: Difference between revisions

Revision as of 07:46, 27 January 2017

Revision as of 19:06, 21 February 2017

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* [[Markov logic network]]s

* [[Multi-entity Bayesian network]]

* Probabilistic relational model – a Probabilistic Relational Model (PRM) is the counterpart of a [[Bayesian network]] in statistical relational learning.<ref>Friedman N, Getoor L, Koller D, Pfeffer A. (1999) [httphttps://ijcaiwww.orgbiostat.wisc.edu/Past%20Proceedings~page/IJCAIlprm-99%20VOL-2/PDF/090ijcai99.pdf "Learning probabilistic relational models"]. In: ''International joint conferences on artificial intelligence'', 1300–09</ref><ref>Teodor Sommestad, Mathias Ekstedt, Pontus Johnson (2010) "A probabilistic relational model for security risk analysis", ''Computers & Security'', 29 (6), 659-679 {{DOI|10.1016/j.cose.2010.02.002}}</ref>

* [[Probabilistic soft logic]]

* [[Recursive random field]]