Data Analysis and Optimization In Honor of Boris Mirkin's 80th Birthday

This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and o...

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Bibliographic Details
Other Authors: Goldengorin, Boris (Editor), Kuznetsov, Sergei (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Series:Springer Optimization and Its Applications
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Preface and Book of Abstracts
  • Chapter. 1. Optimal Layered Defense for Site Protection
  • Chapter. 2. SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum Cocoercive Variational Inequalities
  • Chapter. 3. Dimensionality reduction using pseudo-Boolean polynomials for cluster analysis
  • Chapter. 4. Pseudo-Boolean polynomials approach to edge detection and image segmentation
  • Chapter. 5. Purifying Data by Machine Learning with Certainty Levels
  • Chapter. 6. On impact of data models on predictability assessment of time series
  • Chapter. 7. A three-step method for audience extension in Internet advertising using an industrial taxonomy
  • Chapter. 8. From Prebase in Automata Theory to Data Analysis: Boris Mirkin's Way
  • Chapter. 9. Manipulability of aggregation procedures for the case of large numbers of voters
  • Chapter. 10. Preferences over mixed manna
  • Chapter. 11. About Some Clustering Algorithms in Evidence Theory
  • Chapter.12. Inferring Multiple Consensus Trees and Supertrees Using Clustering: A Review
  • Chapter. 13. Anomaly Detection With Neural Network Using a Generator
  • Chapter. 14. Controllability of triangular systems with phase space change
  • Chapter. 15. A Parallel Linear Active Set Method
  • Chapter. 16. Mean Values: A Multicriterial Analysis
  • Chapter. 17. Data and Text Interpretation in Social Media: Urban Planning Conflicts
  • Chapter. 18. Visual Explainable Machine Learning for High-Stake Decision-Making with Worst Case Estimates
  • Chapter. 19. Algorithm of trading on the stock market, providing satisfactory results
  • Chapter. 20. Classification using Marginalized Maximum Likelihood Estimation and Black-Box Variational Inference
  • Chapter. 21. Generating Genomic Maps of Z-DNA with the Transformer Algorithm
  • Chapter. 22. Manipulation by Coalitions in Voting with Incomplete Information
  • Chapter. 23. Rethinking Probabilistic Topic Modeling from thePoint of View of Classical Non-Bayesian Regularization.<p>< p=""></p>