Universal Time-Series Forecasting with Mixture Predictors
Daniil RyabkoThe 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.
ক্যাটাগোরিগুলো:
সাল:
2020
সংস্করণ:
1st ed.
প্রকাশক:
Springer International Publishing;Springer
ভাষা:
english
ISBN 10:
3030543048
ISBN 13:
9783030543044
বইয়ের সিরিজ:
SpringerBriefs in Computer Science
ফাইল:
PDF, 1.39 MB
IPFS:
,
english, 2020
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