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
Link To Document