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Entropy Randomization in Machine Learning PDF

392 Pages·2022·13.3951 MB·other
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by Yuri S. Popkov & Alexey Yu. Popkov & Yuri A. Dubnov| 2022| 392 pages| 13.3951| other

About Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning presents a new approach to machine learning - entropy randomization - to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study).

Detailed Information

Author:Yuri S. Popkov & Alexey Yu. Popkov & Yuri A. Dubnov
Publication Year:2022
ISBN:9781003306566
Pages:392
Language:other
File Size:13.3951
Format:PDF
Price:FREE
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