Entropy randomization in machine learning. (2022)

• Record Type: Book
• Further Information: Note: Yuri S. Popkov, Alexey Yu. Popkov, Yuri A. Dubnov.
• Authors: Popkov, Yuri S; Popkov, Alexey Yu; Dubnov, Yuri A
• Contents: Preface 1. General Concept of Machine Learning 2. Data Sources and Models Chapter 3. Dimension Reduction Methods 4. Randomized Parametric Models 5. Entropy-robust Estimation Procedures for Randomized Models and Measurement Noises 6. Entropy-Robust Estimation Methods for Probabilities of Belonging in Machine Learning Procedures 7. Computational Methods od Randomized Machine Learning 8. Generation Methods for Random Vectors with Given Probability Density Functions over Compact Sets 9. Information Technologies of Randomized Machine Learning 10. Entropy Classification 11. Randomized Machine Learning in Problems of Dynamic Regression and Prediction Appendix A: Maximum Entropy Estimate (MEE) and Its Asymptotic Efficiency Appendix B: Approximate Estimation of Structural Characteristics of Linear Dynamic Regression Model (LDR) Bibliography
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 006.31; Machine learning; Stochastic processes
• Languages: English
• ISBNs: 9781000628739; 9781000628715; 9781003306566
• Related ISBNs: 9781032306285
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.