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Data Analysis and Optimization
Editor
Listed:
- Boris Goldengorin(New Uzbekistan University)Sergei Kuznetsov(National Research University Higher School of Economics)
Abstract
No abstract is available for this item.
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-31654-8
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Book Chapters
The following chapters of this book are listed in IDEAS- Tsvetan Asamov & Emre Yamangil & Endre Boros & Paul B. Kantor & Fred Roberts, 2023. "Optimal Layered Defense For Site Protection," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 1-21, Springer.
- Alexander S. Belenky, 2023. "Developing and Running a Set of Competitive College/University Blended Courses," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 23-45, Springer.
- Aleksandr Beznosikov & Alexander Gasnikov, 2023. "SARAH-Based Variance-Reduced Algorithm for Stochastic Finite-Sum Cocoercive Variational Inequalities," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 47-57, Springer.
- Tendai Mapungwana Chikake & Boris Goldengorin, 2023. "Dimensionality Reduction Using Pseudo-Boolean Polynomials for Cluster Analysis," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 59-72, Springer.
- Tendai Mapungwana Chikake & Boris Goldengorin & Alexey Samosyuk, 2023. "Pseudo-Boolean Polynomials Approach to Edge Detection and Image Segmentation," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 73-87, Springer.
- Shlomi Dolev & Guy Leshem, 2023. "Purifying Data by Machine Learning with Certainty Levels," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 89-102, Springer.
- Sergey Frenkel, 2023. "On Impact of Data Models on Predictability Assessment of Time Series," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 103-134, Springer.
- Dmitry Frolov & Zina Taran, 2023. "A Three-Step Method for Audience Extension in Internet Advertising Using an Industrial Taxonomy," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 135-146, Springer.
- Boris Goldengorin, 2023. "From Prebase in Automata Theory to Data Analysis: Boris Mirkin’s Way," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 147-156, Springer.
- Alexander Ivanov, 2023. "Manipulability of Aggregation Procedures for the Case of Large Numbers of Voters," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 157-168, Springer.
- Alexander Karpov, 2023. "Preferences over Mixed Manna," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 169-178, Springer.
- Alexander Lepskiy, 2023. "About Some Clustering Algorithms in Evidence Theory," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 179-190, Springer.
- Vladimir Makarenkov & Gayane S. Barseghyan & Nadia Tahiri, 2023. "Inferring Multiple Consensus Trees and Supertrees Using Clustering: A Review," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 191-213, Springer.
- Alexander S. Markov & Evgeny Yu. Kotlyarov & Natalia P. Anosova & Vladimir A. Popov & Yakov M. Karandashev & Darya E. Apushkinskaya, 2023. "Anomaly Detection with Neural Network Using a Generator," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 215-224, Springer.
- Irina Sergeevna Maximova, 2023. "Controllability of Triangular Systems with Phase Space Change," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 225-236, Springer.
- E. Dov Neimand & Şerban Sabău, 2023. "A Parallel Linear Active Set Method," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 237-255, Springer.
- Vladislav V. Podinovski & Andrey P. Nelyubin, 2023. "Mean Values: A Multicriterial Analysis," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 257-270, Springer.
- Maria Pilgun & Nailia Gabdrakhmanova, 2023. "Data and Text Interpretation in Social Media: Urban Planning Conflicts," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 271-289, Springer.
- Charles Recaido & Boris Kovalerchuk, 2023. "Visual Explainable Machine Learning for High-Stakes Decision-Making with Worst Case Estimates," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 291-329, Springer.
- Alexander Rubchinsky & Kristina Baikova, 2023. "Algorithm of Trading on the Stock Market, Providing Satisfactory Results," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 331-347, Springer.
- Soroosh Shalileh, 2023. "Classification Using Marginalized Maximum Likelihood Estimation and Black-Box Variational Inference," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 349-361, Springer.
- Dmitry Umerenkov & Vladimir Kokh & Alan Herbert & Maria Poptsova, 2023. "Generating Genomic Maps of Z-DNA with the Transformer Algorithm," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 363-376, Springer.
- Yuliya A. Veselova, 2023. "Manipulation by Coalitions in Voting with Incomplete Information," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 377-395, Springer.
- Konstantin Vorontsov, 2023. "Rethinking Probabilistic Topic Modeling from the Point of View of Classical Non-Bayesian Regularization," Springer Optimization and Its Applications, in: Boris Goldengorin & Sergei Kuznetsov (ed.), Data Analysis and Optimization, pages 397-422, Springer.
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