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A GPM-based algorithm for solving regularized Wasserstein barycenter problems in some spaces of probability measures.

S. KumManh Hong DuongY. LimS. Yun
Published in: J. Comput. Appl. Math. (2022)
Keyphrases
  • learning algorithm
  • expectation maximization
  • similarity measure
  • bayesian networks
  • high dimensional
  • dynamic programming
  • probabilistic model
  • knn
  • graphical models