Multivariate mixed kernel density estimators and their application in machine learning for classification of biological objects based on spectral measurements
A problem of non-parametric multivariate density estimation for machine learning and data augmentation is considered. A new mixed density estimation method based on calculating the convolution of independently obtained kernel density estimates for unknown distributions of informative features and a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2019-08-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | http://computeroptics.smr.ru/KO/PDF/KO43-4/430421.pdf |