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Plate notation information


In Bayesian inference, plate notation is a method of representing variables that repeat in a graphical model. Instead of drawing each repeated variable individually, a plate or rectangle is used to group variables into a subgraph that repeat together, and a number is drawn on the plate to represent the number of repetitions of the subgraph in the plate.[1] The assumptions are that the subgraph is duplicated that many times, the variables in the subgraph are indexed by the repetition number, and any links that cross a plate boundary are replicated once for each subgraph repetition.[2]

  1. ^ Ghahramani, Zoubin (August 2007). Graphical models (Speech). Tübingen, Germany. Retrieved 21 February 2008.
  2. ^ Buntine, Wray L. (December 1994). "Operations for Learning with Graphical Models" (PDF). Journal of Artificial Intelligence Research. 2. AI Access Foundation: 159–225. arXiv:cs/9412102. Bibcode:1994cs.......12102B. doi:10.1613/jair.62. ISSN 1076-9757. S2CID 11672931. Retrieved 21 February 2008.

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