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Doklady Mathematics

, Volume 98, Issue 3, pp 646–647 | Cite as

Soft Randomized Machine Learning

  • Yu. S. PopkovEmail author
Mathematics
  • 3 Downloads

Abstract

A new method for entropy-randomized machine learning is proposed based on empirical risk minimization instead of the exact fulfillment of empirical balance conditions. The corresponding machine learning algorithm is shown to generate a family of exponential distributions, and their structure is found.

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Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.Institute for Systems Analysis, Federal Research Center “Computer Science and Control,”Russian Academy of SciencesMoscowRussia
  2. 2.Haifa UniversityKarmielIsrael
  3. 3.Yugorsk Research Institute of Information TechnologiesKhanty-Mansiysk, Tyumen oblastRussia

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