Description: Universal Time-series Forecasting With Mixture Predictors, Paperback by Ryabko, Daniil, ISBN 303054303X, ISBN-13 9783030543037, Brand New, Free shipping in the US 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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Book Title: Universal Time-series Forecasting With Mixture Predictors
Number of Pages: VIII, 85 Pages
Language: English
Publication Name: Universal Time-Series Forecasting with Mixture Predictors
Publisher: Springer International Publishing A&G
Subject: Intelligence (Ai) & Semantics, Computer Science, Applied
Publication Year: 2020
Type: Textbook
Item Weight: 16 Oz
Author: Daniil Ryabko
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Series: Springerbriefs in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
