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Universal Time-Series Forecasting with Mixture Predictors

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Product Overview
Specifications
PublisherSpringer
ISBN 139783030543037
ISBN 10303054303X
AuthorDaniil Ryabko
LanguageEnglish
Book DescriptionThe 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 machine learning, information theory and data compression.
About the AuthorDr. Daniil Ryabko (HDR) has a full-time position at INRIA, he has recently been on research assignments in Belize and Madagascar. Read more
Publication Date27 September 2020
Number of Pages96 pages
Cart Total  220.00

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