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 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.