Universal Time Series Forecasting with Mixture Predictors is popular PDF and ePub book, written by Daniil Ryabko in 2020-09-26, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Universal Time Series Forecasting with Mixture Predictors can be Read Online from any device for your convenience.
Universal Time Series Forecasting with Mixture Predictors Book PDF Summary
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.
Detail Book of Universal Time Series Forecasting with Mixture Predictors PDF
- Author : Daniil Ryabko
- Release : 26 September 2020
- Publisher : Springer Nature
- ISBN : 9783030543044
- Genre : Computers
- Total Page : 85 pages
- Language : English
- PDF File Size : 11,6 Mb
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