Items related to Universal Time-Series Forecasting with Mixture Predictors...

Universal Time-Series Forecasting with Mixture Predictors (SpringerBriefs in Computer Science) - Softcover

Book 309 of 322: SpringerBriefs in Computer Science

Ryabko, Daniil

 
9783030543037: Universal Time-Series Forecasting with Mixture Predictors (SpringerBriefs in Computer Science)
Softcover
ISBN 10: 303054303X ISBN 13: 9783030543037
Publisher: Springer, 2020

Synopsis

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.

"synopsis" may belong to another edition of this title.

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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2020
Language
English
ISBN 10 
303054303X
ISBN 13 
9783030543037
Binding
Paperback
Edition number
1
Number of pages
93