Combining Pattern Classifiers: Methods and Algorithms

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Wiley, Jul 1, 2004 - Technology & Engineering - 376 pages
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A unified, coherent, and expansive treatment of current classifier ensemble methods Mail sorting, medical test reading, military target recognition, signature verification, meteorological forecast, DNA matching, fingerprint recognition. These are some of the areas requiring reliable, precise pattern recognition. 'Combining pattern classifiers - methods and algorithms' represents the first attempt to provide a comprehensive survey of this fast-growing field. In a clear and straightforward manner, the author provides a much-needed road map through a multifaceted and often controversial subject while effectively organizing and systematizing the current state of the art. Covering a broad range of methodologies, algorithms, and theories, the text is replete with case studies and real-world applications, and will be of interest to academics and researchers in the field seeking both new classification tools and new uses for the old ones.

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Contents

Base Classifiers
45
Multiple Classifier Systems
101
Fusion of Label Outputs
111
Copyright

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About the author (2004)

LUDMILA I. KUNCHEVA is a Senior Lecturer in the School of Informatics at the University of Wales, Bangor, UK.

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