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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Braga-Neto, Ulisses de Mendonça (Συγγραφέας), Dougherty, Edward R. (Συγγραφέας)
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Piscataway, NJ : IEEE Press, 2015.
Σειρά:IEEE Press series in biomedical engineering.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:1 online resource.
Βιβλιογραφία:Includes bibliographical references and index.
ISBN:9781119079507
1119079500
9781119079330
1119079330
DOI:10.1002/9781119079507