Entropy Randomization in Machine Learning
暫譯: 機器學習中的熵隨機化

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

Entropy Randomization in Machine Learning
  • 出版商: CRC
  • 出版日期: 2024-10-08
  • 售價: $2,360
  • 貴賓價: 9.5 折 $2,242
  • 語言: 英文
  • 頁數: 392
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032307749
  • ISBN-13: 9781032307749
  • 相關分類: Machine Learning

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商品描述

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).

商品描述(中文翻譯)

《機器學習中的熵隨機化》提出了一種新的機器學習方法——熵隨機化，旨在在不確定性（不確定的數據和研究對象的模型）下獲得最佳解決方案。

作者簡介

Yuri S. Popkov: Doctor of Engineering, Professor, Academician of Russian Academy of Sciences; Chief Researcher at Federal Research Center "Computer Science and Control," Russian Academy of Sciences; Chief Researcher at Trapeznikov Institute of Control Sciences, Russian Academy of Sciences; Professor at Lomonosov Moscow State University. Author of more than 250 scientific publications, including 15 monographs. His research interests include stochastic dynamic systems, optimization, machine learning, and macrosystem modeling.

Alexey Yu. Popkov: Candidate of Sciences, Leading Researcher at Federal Research Center "Computer Science and Control," Russian Academy of Sciences; author of 47 scientific publications. His research interests include software engineering, high-performance computing, data mining, machine learning, and entropy methods.

Yuri A. Dubnov: MSc in Physics, Researcher at Federal Research Center "Computer Science and Control," Russian Academy of Sciences. Author of more than 18 scientific publications. His research interests include machine learning, forecasting, randomized approaches, and Bayesian estimation.

作者簡介(中文翻譯)

Yuri S. Popkov：工程博士，教授，俄羅斯科學院院士；俄羅斯科學院聯邦研究中心「計算機科學與控制」首席研究員；俄羅斯科學院Trapeznikov控制科學研究所首席研究員；莫斯科國立大學教授。著作超過250篇科學出版物，包括15部專著。他的研究興趣包括隨機動態系統、優化、機器學習和宏系統建模。

Alexey Yu. Popkov：科學候選人，俄羅斯科學院聯邦研究中心「計算機科學與控制」首席研究員；著作47篇科學出版物。他的研究興趣包括軟體工程、高效能計算、資料探勘、機器學習和熵方法。

Yuri A. Dubnov：物理學碩士，俄羅斯科學院聯邦研究中心「計算機科學與控制」研究員。著作超過18篇科學出版物。他的研究興趣包括機器學習、預測、隨機方法和貝葉斯估計。

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