Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Notation
- Part One Machine Learning
- Part Two Optimal Recovery
- Executive Summary
- 9 Foundational Results of Optimal Recovery
- 10 Approximability Models
- 11 Ideal Selection of Observation Schemes
- 12 Curse of Dimensionality
- 13 Quasi-Monte Carlo Integration
- Part Three Compressive Sensing
- Part Four Optimization
- Part Five Neural Networks
- Appendices
- References
- Index
Executive Summary
from Part Two - Optimal Recovery
Published online by Cambridge University Press: 21 April 2022
- Frontmatter
- Dedication
- Contents
- Preface
- Notation
- Part One Machine Learning
- Part Two Optimal Recovery
- Executive Summary
- 9 Foundational Results of Optimal Recovery
- 10 Approximability Models
- 11 Ideal Selection of Observation Schemes
- 12 Curse of Dimensionality
- 13 Quasi-Monte Carlo Integration
- Part Three Compressive Sensing
- Part Four Optimization
- Part Five Neural Networks
- Appendices
- References
- Index
Summary

- Type
- Chapter
- Information
- Publisher: Cambridge University PressPrint publication year: 2022