Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/578107| Title: | The performance of expectation maximization (EM) algorithm in gaussian mixed models (GMM) |
| Authors: | Abu Hassan Shaari Mohd. Nor (Universiti Kebangsaan Malaysia) |
| Keywords: | Expectation Maximization (EM) Gaussian Mixed Models (GMM) Box and Muller Transformation |
| Issue Date: | Jul-2009 |
| 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. |
| News Source: | Pertanika Journal of Tropical Agricultural Science |
| ISSN: | 0128-7680 |
| Volume: | 17 |
| Pages: | 231-243 |
| Publisher: | Universiti Putra Malaysia Press |
| Appears in Collections: | Journal Content Pages/ Kandungan Halaman Jurnal |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_131125+Source01+Source010.PDF | 2.25 MB | Adobe PDF |  View/Open |
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