E-Book, Englisch, Band 202, 422 Seiten, eBook
Goldengorin / Kuznetsov Data Analysis and Optimization
1. Auflage 2023
ISBN: 978-3-031-31654-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
In Honor of Boris Mirkin's 80th Birthday
E-Book, Englisch, Band 202, 422 Seiten, eBook
Reihe: Springer Optimization and Its Applications
ISBN: 978-3-031-31654-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Weitere Infos & Material
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="">^