• DocumentCode
    406104
  • Title

    An annealing approach to BYY harmony learning on Gaussian mixture with automated model selection

  • Author

    Ma, Jinwen ; Wang, Taijun ; Xu, Lei

  • Author_Institution
    Dept. of Inf. Sci., Peking Univ., Beijing, China
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    23
  • Abstract
    Under the Bayesian Ying-Yang (BYY) harmony learning theory and system, we present an annealing approach to making parameter learning on Gaussian mixture with automated model selection. The annealing EM algorithm and its generalization have been derived and discussed. Moreover, several experiments have demonstrated that they are efficient to determine the number of clusters or Gaussians automatically during learning the parameters.
  • Keywords
    Gaussian processes; belief networks; learning (artificial intelligence); simulated annealing; Bayesian Ying-Yang harmony learning theory; Gaussian mixture; annealing EM algorithm; automated model selection; Annealing; Bayesian methods; Clustering algorithms; Computer science; Information science; Iterative algorithms; Learning systems; Parameter estimation; Probability distribution; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1279204
  • Filename
    1279204