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A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning.

Ravi Teja VemuriMuhammad AzamNizar BouguilaZachary Patterson
Published in: Neural Comput. Appl. (2022)
Keyphrases
  • gaussian mixture model
  • learning process
  • reinforcement learning
  • maximum likelihood
  • bayesian learning
  • computer vision
  • prior knowledge
  • active learning
  • mixture model
  • sample size
  • variational bayes