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Mobile network traffic analysis based on probability-informed machine learning approach
Gorshenin A., Kozlovskaya A., Gorbunov S., Kochetkova I.
of the modern networks. For forecasting, a regression version of the deep Gaussian mixture model (DGMM
Color image restoration with Fuzzy Gaussian mixture model driven nonlocal filter
Surya Prasath V., Delhibabu R.
images using weighted mean among similar patches. In this paper, we consider fuzzy Gaussian mixture model
Color image restoration with Fuzzy Gaussian mixture model driven nonlocal filter
Surya Prasath V., Delhibabu R.
images using weighted mean among similar patches. In this paper, we consider fuzzy Gaussian mixture model
Interpretation of QSAR Models: Mining Structural Patterns Taking into Account Molecular Context
using Gaussian mixture modelling was performed to identify groups of compounds (clusters) comprising
THE EXPERIENCE OF APPLYING MATHEMATICAL METHODS FOR ANALYSIS OF THE MICROGENERATION SECTOR IN RUSSIA
Vladimirovich G.S., Vasilyevich C.M.
experience of the microgeneration sector development on the basis of the Gaussian mixture model is provided
User-level malicious behavior analysis model based on the NMF-GMM algorithm and ensemble strategy
Kan, Xiu, Fan, Yixuan, Zheng, Jinjie, Kudreyko, Aleksey, Chi, Chi-hung, Song, Wanqing, Tregubova, Albina
-level malicious behavior analysis model is established based on non-negative matrix factorization-Gaussian mixture
Super-resolution reconstruction of noisy gas-mixture absorption spectra using deep learning
Kistenev, Yury V., Skiba, V. E., Prischepa, Vladimir V., Vrazhnov, Denis A., Borisov, Alexey V.
Gaussian or Fast Fourier Transform fil- tering. The following ANN architecture models were designed
Intermittence and peculiarities of a statistic characteristic of the geomagnetic field in geodynamo models
Khokhlov A., Lhuillier F., Shcherbakov V.
the obtained data in terms of a mixture of Gaussian distributions. The similar effects associated
Модели гауссовых смесей для верификации диктора по произвольной речи
Садыхов, Р. Х., Ракуш, В. В., Sadykhov, R. H., Rakush, V. V.
stochastic processes. This paper describes mathematical background of the Gaussian mixture models
Intermittence and peculiarities of a statistic characteristic of the geomagnetic field in geodynamo models
Khokhlov A., Lhuillier F., Shcherbakov V.
the obtained data in terms of a mixture of Gaussian distributions. The similar effects associated

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