Universal Time-Series Forecasting with Mixture Predictors Paperback / softback
by Daniil Ryabko
Part of the SpringerBriefs in Computer Science series
Paperback / softback
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:85 pages, 1 Illustrations, black and white; VIII, 85 p. 1 illus.
- Publisher:Springer Nature Switzerland AG
- Publication Date:27/09/2020
- Category:
- ISBN:9783030543037
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:85 pages, 1 Illustrations, black and white; VIII, 85 p. 1 illus.
- Publisher:Springer Nature Switzerland AG
- Publication Date:27/09/2020
- Category:
- ISBN:9783030543037
