Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- List of Acronyms
- Part I Introduction
- Part II Statistics
- Part III Probabilistic Inference
- 5 Performance Evaluation
- 6 Feature Subset Selection
- 7 Non-probabilistic Classifiers
- 8 Probabilistic Classifiers
- 9 Metaclassifiers
- 10 Multidimensional Classifiers
- Part IV Unsupervised Classification
- Part V Probabilistic Graphical Models
- Part VI Spatial Statistics
- Bibliography
- Subject Index
- Color plates
9 - Metaclassifiers
from Part III - Probabilistic Inference
Published online by Cambridge University Press: 05 November 2020
Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- List of Acronyms
- Part I Introduction
- Part II Statistics
- Part III Probabilistic Inference
- 5 Performance Evaluation
- 6 Feature Subset Selection
- 7 Non-probabilistic Classifiers
- 8 Probabilistic Classifiers
- 9 Metaclassifiers
- 10 Multidimensional Classifiers
- Part IV Unsupervised Classification
- Part V Probabilistic Graphical Models
- Part VI Spatial Statistics
- Bibliography
- Subject Index
- Color plates
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- Data-Driven Computational NeuroscienceMachine Learning and Statistical Models, pp. 387 - 414Publisher: Cambridge University PressPrint publication year: 2020