Universal Time-Series Forecasting with Mixture Predictors (SpringerBriefs in Computer Science)
Language: English
Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
- New
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- Title
- Universal Time-Series Forecasting with Mixture Predictors (SpringerBriefs in Computer Science)
- Author
- Ryabko, Daniil
- Publisher
- Springer
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 303054303X
- ISBN 13
- 9783030543037
- Series
- Book 309 of 322: SpringerBriefs in Computer Science
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.
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About the Author
Dr. Daniil Ryabko (HDR) has a full-time position at INRIA, he has recently been on research assignments in Belize and Madagascar.
"About the title" may belong to another edition of this title.
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