Titlebook: Randomized Algorithms in Automatic Control and Data Mining; Oleg Granichin,Zeev (Vladimir) Volkovich,Dvora Tol Book 2015 Springer-Verlag B

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Randomized Control Strategies. based on observation sequences, and these estimates are then used in a parameterized feedback loop that, if properly selected, normally assumed or established the quality of a closed-loop system that satisfies the user.

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1868-4394 rn Recognition and Randomized Algorithms.Written by leading .In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues. The book .Randomized Algorithms in Automatic Control and Data Mining. i

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Randomized Stochastic Approximationave simple forms and provide consistent estimates of the unknown parameters for observations under almost arbitrary noise. They are easily incorporated into the design of quantum devices for estimating the gradient vector of a multivariable function.

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Clustering results in the partition of signals into groups in the environment when classes are not defined in advance. The resulting partition naturally describes the structure of a data set and can be used in the future to define it.