Yuri S. Popkov's Books

Entropy Randomization in Machine Learning

By: Yuri S. Popkov,Alexey Yu. Popkov,Yuri A. Dubnov

Write a review Read reviews Take a Quiz Solve Book Puzzle

Entropy Randomization in Machine Learning

By: Yuri S. Popkov,Alexey Yu. Popkov,Yuri A. Dubnov

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, Entropy Randomization in Machine Learning considers several applications to binary classification, modelling the dynamics of the Earth’s population, predicting seasonal electric load fluctuations of power supply systems, and forecasting the thermokarst lakes area in Western Siberia. Features • A systematic presentation of the randomized machine-learning problem: from data processing, through structuring randomized models and algorithmic procedure, to the solution of applications-relevant problems in different fields • Provides new numerical methods for random global optimization and computation of multidimensional integrals • A universal algorithm for randomized machine learning 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.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

463

Publisher

CRC Press

Published Date

ISBN 10

1000628736

ISBN 13

9781000628739

Mathematical Demoeconomy

Integrating Demographic and Economic Approaches

By: Yuri S. Popkov

Write a review Read reviews Take a Quiz Solve Book Puzzle

Mathematical Demoeconomy

Integrating Demographic and Economic Approaches

By: Yuri S. Popkov

This monograph aspires to lay the foundations of a new scientific discipline, demoeconomics, representing the synthesis of demography and spatial economics. This synthesis is performed in terms of interaction between population and its economic activity. The monograph appears a unique research work having no analogs in scientific literature. Demoeconomic systems are studied involving the macrosystems approach which combines the generalized entropy maximization principle and the local equilibria principle. Demoeconomic systems operate in an uncertain environment; thus and so, the monograph develops the methodology and technique of probabilistic modeling and forecasting of their evolution.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

514

Publisher

Walter de Gruyter

Published Date

ISBN 10

3110339161

ISBN 13

9783110339161

Entropy Randomization in Machine Learning

By: Yuri S. Popkov,Alexey Yu. Popkov,Yuri A. Dubnov

Write a review Read reviews Take a Quiz Solve Book Puzzle

Entropy Randomization in Machine Learning

By: Yuri S. Popkov,Alexey Yu. Popkov,Yuri A. Dubnov

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

463

Publisher

CRC Press

Published Date

ISBN 10

1000628736

ISBN 13

9781000628739

Book's by Yuri S. Popkov

Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning

Mathematical Demoeconomy

Mathematical Demoeconomy

Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning

Username

Password

Username

Password

Password again

Birthday

Email