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Randomized Machine Learning: Statement, solution, applications of this approach from “classical” machine learning is that optimal estimation deals with the probability density

Probability’s uncertainty in stochastic dynamical control systemsThis study applies generalized polynomial chaos theory to dynamic systems with uncertainties.

On the relationship of energy and probability in models of classical statistical physics field and the physical notion of (transition) energy, and so opens the possibility to directly apply

Probability Distribution Functions of the Sum of Squares of Random Variables in the Non-zero Mathematical ExpectationsThe article concluded probability distribution functions sum of the squares of the random variables

A comparison of the expected and statistical probability distribution of system failuresThe possibility of applying the information theory in the problem of comparing the expected

Вероятностный прием преобразования кратных интегралов к интегралам меньшей размерности continuous probability distribution is possible. This representation allows us to use the probability concept

Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series estimated the probability for each object that agricultural land was used each year based on Landsat

Methodology features of teaching stochastics to university students of the biology specialization stochastics to university students of the Biology specialization in the context of implementing a professional-applied

Вероятностные задачи механики в прикладной теории случайных колебанийSome probability problems in an applied mechanics of the random vibration are discussed.

GENERALIZED KAPITZA PENDULUM AND STABILITY ANALYSIS frequencies and amplitudes. Lyapunov stability analysis for this system was applied.

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