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INFFUS
2002
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13 years 4 months ago
Relationships between combination methods and measures of diversity in combining classifiers
This study looks at the relationships between different methods of classifier combination and different measures of diversity. We considered ten combination methods and ten measur...
Catherine A. Shipp, Ludmila Kuncheva
EVOW
2008
Springer
13 years 6 months ago
A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification
Classifier fusion strategies have shown great potential to enhance the performance of pattern recognition systems. There is an agreement among researchers in classifier combination...
Amin Assareh, Mohammad Hassan Moradi, L. Gwenn Vol...
ANNPR
2008
Springer
13 years 6 months ago
Combining Methods for Dynamic Multiple Classifier Systems
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
Amber Tomas
ICDAR
2003
IEEE
13 years 9 months ago
Confidence Evaluation for Combining Diverse Classifiers
For combining classifiers at measurement level, the diverse outputs of classifiers should be transformed to uniform measures that represent the confidence of decision, hopefully, ...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako
ICPR
2006
IEEE
14 years 5 months ago
A 'No Panacea Theorem' for Multiple Classifier Combination
We introduce the `No Panacea Theorem' for classifier combination in the two-classifier, two-class case. It states that if the combination function is continuous and diverse, ...
Robert I. Damper, Roland Hu