Universal Time-Series Forecasting with Mixture Predictors
Häftad, Engelska, 2020
739 kr
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Fri frakt för medlemmar vid köp för minst 249 kr.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.
Produktinformation
- Utgivningsdatum2020-09-27
- Mått155 x 235 x undefined mm
- SpråkEngelska
- SerieSpringerBriefs in Computer Science
- Antal sidor85
- FörlagSpringer Nature Switzerland AG
- EAN9783030543037
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