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	A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes
	Chen, Ziyi ; Ma, Jinwen ; Zhou, Yatong
	2014
关键词	Mixture of Gaussian process Parameter learning EM algorithm
英文摘要	The mixture of Gaussian processes (MGP) is a powerful framework for machine learning. However, its parameter learning or estimation is still a very challenging problem. In this paper, a precise hard-cut EM algorithm is proposed for learning the parameters of the MGP without any approximation in the derivation. It is demonstrated by the experimental results that our proposed hard-cut EM algorithm for MGP is feasible and even outperforms two available hard-cut EM algorithms.; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; EI; CPCI-S(ISTP); 0
语种	英语
出处	EI ; SCI
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/315373]
专题	数学科学学院
推荐引用方式 GB/T 7714	Chen, Ziyi,Ma, Jinwen,Zhou, Yatong. A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes. 2014-01-01.

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