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Probabilistic inference with noisy-threshold models based on a CP tensor decomposition.

Jirí VomlelPetr Tichavský
Published in: Int. J. Approx. Reason. (2014)
Keyphrases
  • probabilistic inference
  • graphical models
  • bayesian networks
  • probabilistic model
  • belief networks
  • tensor decomposition
  • decision trees
  • prior knowledge
  • domain knowledge
  • least squares
  • weighted model counting