Book contents
- Frontmatter
- Contents
- Preface
- Notation
- 1 Introduction
- 2 Mathematical Foundation
- 3 Supervised Machine Learning (in a Nutshell)
- 4 Feature Extraction
- DISCRIMINATIVE MODELS
- 5 Statistical Learning Theory
- 6 Linear Models
- 7 Learning Discriminative Models in General
- 8 Neural Networks
- 9 Ensemble Learning
- GENERATIVE MODELS
- APPENDIX
- Bibliography
- Index
5 - Statistical Learning Theory
from DISCRIMINATIVE MODELS
Published online by Cambridge University Press: 18 November 2021
Book contents
- Frontmatter
- Contents
- Preface
- Notation
- 1 Introduction
- 2 Mathematical Foundation
- 3 Supervised Machine Learning (in a Nutshell)
- 4 Feature Extraction
- DISCRIMINATIVE MODELS
- 5 Statistical Learning Theory
- 6 Linear Models
- 7 Learning Discriminative Models in General
- 8 Neural Networks
- 9 Ensemble Learning
- GENERATIVE MODELS
- APPENDIX
- Bibliography
- Index
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- Machine Learning FundamentalsA Concise Introduction, pp. 97 - 106Publisher: Cambridge University PressPrint publication year: 2021
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