BYY HARMONY ENFORCING REGULARIZATION FOR GAUSSIAN MIXTURE LEARNING | |
Wang, Hongyan ; Ma, Jinwen | |
2008 | |
关键词 | Gaussian mixture BYY Harmony learning Automated model selection Regularization Maximum likelihood AUTOMATED MODEL SELECTION ALGORITHM |
英文摘要 | In this paper, a Bayesian Ying-Yang (BYY) harmony enforcing regularization (BYY-HER) algorithm is proposed for Gaussian mixture learning with a sample dataset on both parameter estimation and model selection, i.e., selecting an appropriate number of Gaussians in the mixture, through a regularization process from the BYY harmony learning to the maximum likelihood learning. It has been demonstrated by experiments on synthetical and real sample datasets that our proposed BYY-HER algorithm can not only select the correct number of actual Gaussians in a dataset, but also obtain good parameter estimations for the parameters in the true mixture.; Engineering, Electrical & Electronic; EI; CPCI-S(ISTP); 0 |
语种 | 英语 |
出处 | SCI ; EI |
内容类型 | 其他 |
源URL | [http://hdl.handle.net/20.500.11897/158155] ![]() |
专题 | 数学科学学院 |
推荐引用方式 GB/T 7714 | Wang, Hongyan,Ma, Jinwen. BYY HARMONY ENFORCING REGULARIZATION FOR GAUSSIAN MIXTURE LEARNING. 2008-01-01. |
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