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The Performance of Expectation Maximization (EM) Algorithm in Gaussian Mixed Models (GMM)
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نویسنده
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Mohd. Izhan Mohd. Yusoff ,Mohd. Rizam Abu Bakar ,Mohd. Nor Abu Hassan Shaari
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منبع
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pertanika journal of science and technology - 2009 - دوره : 17 - شماره : 2 - صفحه:231 -243
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چکیده
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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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کلیدواژه
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Expectation Maximization (EM) ,Gaussian Mixed Models (GMM) ,Box and Muller Transformation
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آدرس
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Telekom Research & Development Sdn Bhd, TMR&D Innovation Centre, Operation Support Systems Program, Applied Research Division, Malaysia, Universiti Putra Malaysia, Faculty of Science, Department of Mathematics, Malaysia, Universiti Kebangsaan Malaysia, Faculty of Economics and Business, Malaysia
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پست الکترونیکی
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izhan@tmrnd.com.my
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Authors
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