Combining Pattern Classifiers: Methods and Algorithms

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John Wiley & Sons, Aug 20, 2004 - Technology & Engineering - 300 pages
Covering pattern classification methods, Combining Classifiers: Ideas and Methods focuses on the important and widely studied issue of how to combine several classifiers together in order to achieve improved recognition performance. It is one of the first books to provide unified, coherent, and expansive coverage of the topic and as such will be welcomed by those involved in the area. With case studies that bring the text alive and demonstrate 'real-world' applications it is destined to become essential reading.
 

Contents

1 Fundamentals of Pattern Recognition
1
2 Base Classifiers
45
3 Multiple Classifier Systems
101
4 Fusion of Label Outputs
111
5 Fusion of ContinuousValued Outputs
151
6 Classifier Selection
189
7 Bagging and Boosting
203
8 Miscellanea
237
9 Theoretical Views and Results
267
10 Diversity in Classifier Ensembles
295
References
329
Index
347
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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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