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

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 detectio...

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Main Authors: Mohd Yusoff, Mohd Izhan, Abu Bakar, Mohd. Rizam, Mohd Nor, Abu Hassan Shaari
Format: Article
Language:English
English
Published: Universiti Putra Malaysia Press 2009
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/17261/
http://psasir.upm.edu.my/id/eprint/17261/1/The%20performance%20of%20expectation%20maximization.pdf
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author Mohd Yusoff, Mohd Izhan
Abu Bakar, Mohd. Rizam
Mohd Nor, Abu Hassan Shaari
author_facet Mohd Yusoff, Mohd Izhan
Abu Bakar, Mohd. Rizam
Mohd Nor, Abu Hassan Shaari
author_sort Mohd Yusoff, Mohd Izhan
building UPM Institutional Repository
collection Online Access
description 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.
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institution Universiti Putra Malaysia
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language English
English
last_indexed 2025-11-15T08:11:07Z
publishDate 2009
publisher Universiti Putra Malaysia Press
recordtype eprints
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spelling upm-172612015-10-23T02:51:06Z http://psasir.upm.edu.my/id/eprint/17261/ The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM) Mohd Yusoff, Mohd Izhan Abu Bakar, Mohd. Rizam Mohd Nor, Abu Hassan Shaari 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. Universiti Putra Malaysia Press 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/17261/1/The%20performance%20of%20expectation%20maximization.pdf 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 http://pertanika.upm.edu.my/Pertanika Expectation-maximization algorithms. Gaussian processes. Estimation theory. English
spellingShingle Expectation-maximization algorithms.
Gaussian processes.
Estimation theory.
Mohd Yusoff, Mohd Izhan
Abu Bakar, Mohd. Rizam
Mohd Nor, Abu Hassan Shaari
The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM)
title The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM)
title_full The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM)
title_fullStr The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM)
title_full_unstemmed The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM)
title_short The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM)
title_sort performance of expectation maximization (em) algorithm in gaussian mixed models (gmm)
topic Expectation-maximization algorithms.
Gaussian processes.
Estimation theory.
url http://psasir.upm.edu.my/id/eprint/17261/
http://psasir.upm.edu.my/id/eprint/17261/
http://psasir.upm.edu.my/id/eprint/17261/1/The%20performance%20of%20expectation%20maximization.pdf