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题名/责任者:

Entropy randomization in machine learning / Yuri S. Popkov, Alexey Yu. Popkov, Yuri A. Dubnov.

版本说明:

First edition.

出版发行项:

Boca Raton : CRC Press, [2023]

ISBN:

9781032306285

ISBN:

9781032307749

载体形态项:

xxii, 382 pages : illustrations ; 24 cm.

丛编说明:

Chapman & Hall/CRC machine learning & pattern recognition

个人责任者:

Popkov, Yuri S., author.

附加个人名称:

Popkov, Alexey Yu., author.

附加个人名称:

Dubnov, Yuri A., author.

论题主题:

Machine learning.

论题主题:

Stochastic processes.

中图法分类号:

TP181

书目附注:

Includes bibliographical references (pages 347-363) and index.

摘要附注:

"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 conditions are derived in the form of nonlinear equations with integral components. A new numerical random search method is developed for solving these equations in a probabilistic sense. Along with the theoretical foundations of randomized machine learning, the book considers several applications to binary classification, modelling the dynamics of the Earth population, predicting seasonal electric load fluctuations of power supply systems, and forecasting the area of thermokarst lakes in Western Siberia. This book will appeal to undergraduates and postgraduates specializing in artificial intelligence and machine learning, researchers and engineers involved in the development of applied machine learning systems, and researchers of forecasting problems in various fields"--

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