Examples of using Markov in English and their translations into Ukrainian
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Colloquial
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Ecclesiastic
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Computer
Staff get along with markov?
In simpler Markov Model, the states are clearly visible to the user and thus the state
ATB CEO Boris Markov believes that the departure of Ukrainians abroad is a serious threat not only for the Ukrainian economy, but for the country as a whole.
We obtain a differential analog of the main lemma in the theory of Markov branding processes$\mu(t),\quad t\geq 0$, of continuous time.
Markov processes As wind power continues to gain popularity, it becomes a necessary ingredient in realistic power grid studies.
Markov, visiting Alupka,
Later, the theory of Markov random fields was further developed in works related to problems of statistical physics
hidden Markov models, exploiting repetitions in the input sequence to greatly speed up the forward algorithm.
In this context, the Markov property suggests that the distribution for this variable depends only on the distribution of previous state.
Therefore, gradual evolution from common ancestors must conform to the mathematics of Markov processes and Markov chains.
Bachelier it is already possible to find an attempt to discuss Brownian motion as a Markov process, an attempt which received justification later in the research of N. Wiener(1923).
At the same time, Markov noted, in general, it can be stated that the positive dynamics of migration from Ukraine to the EU countries and Russia can be maintained.
Reinforcement learning can solve Markov decision processes without explicit specification of the transition probabilities;
More formally the environment is modeled as a Markov decision process(MDP) with states s 1,….
The new classes of Markov systems areinvestigated that do not necessarily continuously depend on time,
where his teachers were T. Neff and A. Markov.
Formally the environment is modeled as a Markov decision process(MDP)
However, it is also possible to create hidden Markov models with other types of prior distributions.
this is called a Markov process.