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Model structure learning: A support vector machine approach for LPV linear-regression models.

Roland TóthVincent LaurainWei Xing ZhengKameshwar Poolla
Published in: CDC/ECC (2011)
Keyphrases
  • structure learning
  • support vector machine
  • probabilistic model
  • bayesian networks
  • graphical models
  • neural network
  • training set
  • pairwise
  • maximum likelihood estimation