Entropy Randomization in Machine Learning

by Alexey Yu. Popkov, Yuri A. Dubnov, Yuri S. Popkov

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). Randomized machine-learning procedures involve models with random parameters and maximum entropy estimates of the probability density functions of the model parameters under balance conditions with measured data. Optimality...

• Format: Hardcover
• Language: English
• ISBN: 1032306289
• ISBN13: 9781032306285
• Release Date: August 2022
• Publisher: CRC Press
• Length: 392 Pages
• Weight: 1.64 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"