Combining pattern classifiers : methods and algorithms /
"Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers. In a didactic, detailed assessment, Combining Pattern Classifiers examines the basic theories and tactics of classi...
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| Format: | eBook |
| Language: | English |
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Hoboken, NJ :
Wiley,
2014.
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| Edition: | Second edition. |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
| Summary: | "Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers. In a didactic, detailed assessment, Combining Pattern Classifiers examines the basic theories and tactics of classifier combination while presenting the most recent research in the field. Among the pattern recognition tasks that this book explores are mail sorting, face recognition, signature verification, decoding brain fMRI images, identifying emotions, analyzing gene microarray data, and spotting patterns in consumer preference. This updated second edition is equipped with the latest knowledge for academics, students, and practitioners involved in pattern recognition fields"-- "Classifier Combination is a field of growing interest within the very large area of Pattern Classification"-- |
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| Physical Description: | 1 online resource (xxi, 357 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118914540 1118914546 9781118914557 1118914554 9781118914564 1118914562 |
| DOI: | 10.1002/9781118914564 |
