Error estimation for pattern recognition /
This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to more specialized classifiers, it covers important topics and essential issues pertaining to the scientific validity of pattern classification. Includes t...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Piscataway, NJ :
IEEE Press,
2015.
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| Series: | IEEE Press series in biomedical engineering.
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
| Summary: | This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to more specialized classifiers, it covers important topics and essential issues pertaining to the scientific validity of pattern classification. Includes the latest results on accuracy of error estimation Analyzes the performance of cross-validation and bootstrap error estimators using simulation and model-based approaches End-of-chapter exercises Highly interactive computer-based exercises. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119079507 1119079500 9781119079330 1119079330 |
| DOI: | 10.1002/9781119079507 |
