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Current perspectives on the application of bayesian networks in different domains
Novikova G.M., Azofeifa E.J.
Bayesian networks are powerful tools for representing relations of dependence among variables of a
Abnormal condition identification modeling based on fuzzy Bayesian network and transfer learning
Li, Hui
The abnormal condition identification model is established based on the fuzzy Bayesian network
Groundwater-potential mapping using a self-learning bayesian network model: A comparison among metaheuristic algorithms
Karimi-Rizvandi S., Goodarzi H.V., Afkoueieh J.H., Chung I.-M., Kisi O., Kim S., Linh N.T.T.
was to determine the optimal network structure of a Bayesian network (BayesNet) machine-learning model using three
IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity
Vishniakou, U. A., Yiwei, X.
function are used. The KNN algorithm and the algorithm of a two-layer neural network were used for training
Сравнительный численный анализ байесовского решающего правила и вероятностной нейронной сети для распознавания образов
Муха, В. С.
, computer modeling of the Bayesian decision rule and the probabilistic neural network is carried out
Estimating the inefficiency of machinery and its operators using hierarchical Bayesian models
Guletskii, N. V., Radyna, Ya. M.
of their equipment by building a hierarchical Bayesian model to model the fuel consumption of each operation.
A bayesian classification procedure for the problem of reservoir facies determination based on markov networks
Zaikin A., Salimov R.
network model to calculate posterior distribution. Other models of stochastic dependence of adjacent log
Modern technology for evaluating measures to optimize and improve the working of teacher and staff
Veretekhina S.V.
of teachers and staff. Applied methods: System analysis, mathematical modeling, logical generalization
IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning
Vishniakou, U. A., YiWei Xia
. The model was trained using the Knn and Random Forest algorithms, as well as the Bayesian neural network
Hyperparameters of Multilayer Perceptron with Normal Distributed Weights
Karaki, Y., Ivanov, N., Караки, Ю. Ш., Иванов, Н. Н.
Multilayer Perceptrons, Recurrent neural networks, Convolutional networks, and others types

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