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...
Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer Nature Switzerland
2023, 2023
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Edition: | 1st ed. 2023 |
Series: | Springer Optimization and Its Applications
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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>