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Universal Time-Series Forecasting with Mixture Predictors (Paperback, 1st ed. 2020) Loot Price: R1,469
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Universal Time-Series Forecasting with Mixture Predictors (Paperback, 1st ed. 2020): Daniil Ryabko

Universal Time-Series Forecasting with Mixture Predictors (Paperback, 1st ed. 2020)

Daniil Ryabko

Series: SpringerBriefs in Computer Science

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Loot Price R1,469 Discovery Miles 14 690 | Repayment Terms: R138 pm x 12*

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Universal Time-Series Forecasting with Mixture Predictors (Paperback, 1st ed. 2020): Daniil Ryabko
Universal Time-Series Forecasting with…
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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 machine learning, information theory and data compression.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: SpringerBriefs in Computer Science
Release date: September 2020
First published: 2020
Authors: Daniil Ryabko
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 85
Edition: 1st ed. 2020
ISBN-13: 978-3-03-054303-7
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-03-054303-X
Barcode: 9783030543037

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