Auto-Associative Learning

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See: Generative Model, Recognition Model.



References

2000

  • (Valpola, 2000) ⇒ Harri Valpola. (2000). “Bayesian Ensemble Learning for Nonlinear Factor Analysis." PhD Dissertation, Helsinki University of Technology.
    • QUOTE: auto-associative learning: Representation of the observations is learned by finding a mapping from observations to themselves through an information bottleneck which forces the model to produce a compact coding of the observations. The recognition model and generative model are learned simultaneously.