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

被引：0

作者：

Ma, JW ^{[1
]}

Wang, TJ ^{[1
]}

Xu, L ^{[1
]}

机构：

[1] Peking Univ, Dept Informat Sci, Sch Math Sci, Beijing 100871, Peoples R China

来源：

PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2 | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Under the Bayesian Yin-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.

引用

页码：23 / 28

页数：6

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