@inproceedings{6e1713f9d4d4476493bd974356c39948,
title = "A novel EM algorithm for stable optimum",
abstract = "The main contribution of this paper is to propose a novel EM algorithm that utilizes ideas of EM algorithm and maximum-entropy uniform distribution to find a stable optimum in an uncomplicated way. The conventional EM algorithms may suffer from the following two problems: first, it may converge to an undetermined local maximum; second, the algorithm may suffer from singularity. The novel EM algorithm is deterministic that the solution is determined solely by the initial condition. In our novel EM algorithm, a stable and optimal solution can be obtained by using a uniform distribution instead of special initial condition. In addition, a positive perturbation scheme is adopted to avoid singularity. Experimental results have demonstrated that the novel EM is uncomplicated and effective for stable optimum compared with some prior arts.",
author = "Y. Xiao and Xuan, {G. R.} and Yang, {Z. Q.} and Shi, {Y. Q.}",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; International Conference on Network Security and Communication Engineering, NSCE 2014 ; Conference date: 25-12-2014 Through 26-12-2014",
year = "2015",
doi = "10.1201/b18660-42",
language = "English (US)",
isbn = "9781138028210",
series = "Network Security and Communication Engineering - Proceedings of the 2014 International Conference on Network Security and Communication Engineering, NSCE 2014",
publisher = "CRC Press/Balkema",
pages = "189--192",
editor = "Kennis Chan",
booktitle = "Network Security and Communication Engineering - Proceedings of the 2014 International Conference on Network Security and Communication Engineering, NSCE 2014",
}