Approximate inference

Approximate inference methods make it possible to learn realistic models from big data by trading off computation time for accuracy, when exact learning and inference are computationally intractable.

Major methods classes

[1][2]

gollark: I'm not the one buying this.
gollark: Seems fine.
gollark: As far as I know "80+ White" is below bronze is below silver is below gold is below platinum/titanium or something.
gollark: I mostly just go by the 80+ certification and how well-reviewed it is.
gollark: I see. It's not very efficient, though, compared to other ones.

See also

References

  1. "Approximate Inference and Constrained Optimization". Uncertainty in Artificial Intelligence - UAI: 313–320. 2003.
  2. "Approximate Inference". Retrieved 2013-07-15.
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