Book Details
Format
Paperback / Softback
Book Series
SpringerBriefs in Computer Science
ISBN-10
303054303X
ISBN-13
9783030543037
Edition
1st ed. 2020
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 27th, 2020
Print length
85 Pages
Product Classification:
Mathematical theory of computationMaths for computer scientistsArtificial intelligence
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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.
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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