Grafički model

Grafički model je probabilistički model za koji graf označava uslovnu nezavisnot strukture između randomnih promenljivih. Ovaj tip modela se često koristi u teoriji verovatnoće i statistici, a posebno u Bajesovoj statistici i mašinskom učenju.

Primer grafičkog modela. Strelice indiciraju zavisnost.

Literatura

• Bishop Christopher M. (2006). „Chapter 8. Graphical Models”. Pattern Recognition and Machine Learning. Springer. str. 359-422. ISBN 0-387-31073-8. MR 2247587.
• Cowell Robert G., Philip Dawid, Lauritzen Steffen L., David Spiegelhalter (1999). Probabilistic networks and expert systems. Berlin: Springer. ISBN 0-387-98767-3. MR 1697175. A more advanced and statistically oriented book
• Jensen, Finn (1996). An introduction to Bayesian networks. Berlin: Springer. ISBN 0-387-91502-8.
• Daphne_Koller, Friedman N. (2009). Probabilistic Graphical Models. Massachusetts: MIT Press. str. 1208. ISBN 0-262-01319-3.
• Judea Pearl (1988). Probabilistic Reasoning in Intelligent Systems (2nd revised izd.). San Mateo, CA: Morgan Kaufmann. ISBN 1-55860-479-0. MR 0965765. A computational reasoning approach, where the relationships between graphs and probabilities were formally introduced.
• Edoardo M. Airoldi (2007). „Getting Started in Probabilistic Graphical Models”. PLoS Computational Biology 3 (12): e252. DOI:10.1371/journal.pcbi.0030252. PMC 2134967. PMID 18069887.

Vanjske veze

• Bajesovo učenje^{[mrtav link]}
• Grafički model