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

机译:一种自动选择模型的高斯混合物购买和谐学习的退火方法

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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.
机译:在贝叶斯盈阳(BYY)和声学习理论和系统的基础上,我们提出了一种退火方法,可通过自动模型选择对高斯混合气进行参数学习。推导并讨论了退火EM算法及其推广。此外,一些实验表明,在学习参数期间,它们可以有效地自动确定聚类或高斯数。

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