The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM)

Mohd Yusoff, Mohd Izhan and Abu Bakar, Mohd. Rizam and Mohd Nor, Abu Hassan Shaari (2009) The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM). Pertanika Journal of Science & Technology, 17 (2). 231 - 243. ISSN 0128-7680

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Official URL: http://pertanika.upm.edu.my/Pertanika

Abstract

Expectation Maximization (EM) algorithm has experienced a significant increase in terms of usage in many fields of study. In this paper, the performance of the said algorithm in finding the Maximum Likelihood for the Gaussian Mixed Models (GMM), a probabilistic model normally used in fraud detection and recognizing a person’s voice in speech recognition field, is shown and discussed. At the end of the paper, some suggestions for future research works will also be given.

Item Type:Article
Keyword:Expectation Maximization (EM), Gaussian Mixed Models (GMM), Box and Muller Transformation
Subject:Expectation-maximization algorithms.
Subject:Gaussian processes.
Subject:Estimation theory.
Faculty or Institute:Faculty of Science
Publisher:Universiti Putra Malaysia Press
ID Code:17261
Deposited By: Najwani Amir Sariffudin
Deposited On:25 Jun 2012 08:36
Last Modified:25 Jun 2012 08:36

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