markov in A Sentence

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    Markov chains and processes.

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    The Markov Property.

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    Timanovsky Markov 's.

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    Markov started his career at the youth ranks of Slavia Sofia.

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    To support the Shkuro corps, one regiment of the Markov division was pulled here.

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    General Timanovsky, Markov's aide, a brave and skillful commander, arrived in Odessa from Denikin's army.

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    This core ECE course covers digital control systems, Markov decision processes, and reinforcement learning algorithms.

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    Markov algorithm a string rewriting system that uses grammar-like rules to operate on strings of symbols.

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    To understand the probabilistic theory behind the MDP, we need to know the Markov property:.

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    The Markov Property is used in situations where the probabilities of different outcomes are not dependent on past states;

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    If you're not familiar with minimax, Bayesian analyses, and Markov chains, this is going to be a very frustrating read.

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    From a mathematics perspective, we can look at reinforcement learning as a state model, specifically a fully observable Markov Decision process(MDP).

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    They are particularly suited to situations where likelihood functions are absent and where more traditional approaches such as Markov chain Monte Carlo are impractical.

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    As a result of Markov theory, it can be shown that the PageRank of a page is the probability of being at that page after lots of clicks.

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    The parameters of the Markov models and the student-t distributions are estimated in the in-sample period(1974-1981) for each currency pair in order to minimize the cumulative deviation of the excess returns from zero.

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    Probabilistic algorithms can also be used for filtering, prediction, smoothing and finding explanations for streams of data, helping perception systems to analyze processes that occur over time(e.g., hidden Markov models or Kalman filters).

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    Transition matrix- a matrix representing the probabilities of conditions changing from one state to another in a Markov chain Unistochastic matrix- a doubly stochastic matrix whose entries are the squares of the absolute values of the entries of some unitary matrix The following matrices find their main application in graph and network theory.

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