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A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann Machines.

Hien Duy NguyenIan A. Wood
Published in: Neural Comput. (2016)
Keyphrases
  • objective function
  • np hard
  • lower bound
  • optimal solution
  • learning algorithm
  • k means
  • dynamic programming
  • probabilistic model
  • monte carlo
  • upper bound
  • parameter estimation
  • prior information
  • conditional independence