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Daniil Ryabko – författare

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6 produkter

  1. Daniil Ryabko - Asymptotic Nonparametric Statistical Analysis of Stationary Time Series, Häftad. Tillgänglighet: Lägg i varukorg

    Asymptotic Nonparametric Statistical Analysis of Stationary Time Series

    Av Daniil Ryabko

    Häftad, 2019

    550 kr

    Lägg i varukorg

    Stationarity is a very general, qualitative assumption, that can be assessed on the basis of application specifics. It is thus a rather attractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence or finite …

  2. Daniil Ryabko - Asymptotic Nonparametric Statistical Analysis of Stationary Time Series, E-bok. Tillgänglighet: Lägg i varukorg

    Asymptotic Nonparametric Statistical Analysis of Stationary Time Series

    Av Daniil Ryabko

    E-bok, 2019

    739 kr

    Lägg i varukorg

    Stationarity is a very general, qualitative assumption, that can be assessed on the basis of application specifics. It is thus a rather attractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence or finite …

  3. Daniil Ryabko - Universal Time-Series Forecasting with Mixture Predictors, Häftad. Tillgänglighet: Lägg i varukorg

    Universal Time-Series Forecasting with Mixture Predictors

    Av Daniil Ryabko

    Häftad, 2020

    566 kr

    Lägg i varukorg

    The author considers the problem of sequential probability forecasting in the most general setting, where the observed data may exhibit an arbitrary form of stochastic dependence. All the results presented are theoretical, but they concern the foundations of some problems in such applied areas as …

  4. Daniil Ryabko - Universal Time-Series Forecasting with Mixture Predictors, E-bok. Tillgänglighet: Lägg i varukorg

    Universal Time-Series Forecasting with Mixture Predictors

    Av Daniil Ryabko

    E-bok, 2020

    755 kr

    Lägg i varukorg

    The author considers the problem of sequential probability forecasting in the most general setting, where the observed data may exhibit an arbitrary form of stochastic dependence. All the results presented are theoretical, but they concern the foundations of some problems in such applied areas as …

  5. Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko - Recent Advances in Reinforcement Learning, Häftad. Tillgänglighet: Lägg i varukorg

    Recent Advances in Reinforcement Learning

    8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008, Revised and Selected Papers

    Av Sertan Girgin, Manuel Loth m. fl.

    Häftad, 2008

    566 kr

    Lägg i varukorg

    Inthesummerof2008,reinforcementlearningresearchersfromaroundtheworld gathered in the north of France for a week of talks and discussions on reinfor- ment learning, on how it could be made more e?cient, applied to a broader range of applications, and utilized at more abstract and symbolic levels. As …

  6. Daniil Ryabko, Philippe Preux, Remi Munos, Manuel Loth, Sertan Girgin - Recent Advances in Reinforcement Learning, E-bok. Tillgänglighet: Lägg i varukorg

    Recent Advances in Reinforcement Learning

    8th European Workshop, EWRL 2008, Villeneuve d''Ascq, France, June 30-July 3, 2008, Revised and Selected Papers

    Av Daniil Ryabko, Philippe Preux m. fl.

    E-bok, 2008

    755 kr

    Lägg i varukorg

    Inthesummerof2008,reinforcementlearningresearchersfromaroundtheworld gathered in the north of France for a week of talks and discussions on reinfor- ment learning, on how it could be made more e?cient, applied to a broader range of applications, and utilized at more abstract and symbolic levels. As …