Accuracy Of Nonparametric Density Estimation For Univariate Gaussian Mixture Models A Comparative Study
Work
Year: 2020
Type: article
Abstract: Flexible and reliable probability density estimation is fundamental in unsupervised learning and classification. Finite Gaussian mixture models are commonly used for this purpose. However, the paramet... more
Authors Jurgita Arnastauskaitė, Tomas Ruzgas
Institution Kaunas University of Technology
Cites: 31
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Related to: 10
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Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond