Classifier ensembles: Select real-world applications

@article{Oza2008ClassifierES,
  title={Classifier ensembles: Select real-world applications},
  author={Nikunj C. Oza and Kagan Tumer},
  journal={Information Fusion},
  year={2008},
  volume={9},
  pages={4-20}
}
Broad classes of statistical classification algorithms have been developed and applied successfully to a wide range of real world domains. In general, ensuring that the particular classification algorithm matches the properties of the data is crucial in providing results that meet the needs of the particular application domain. One way in which the impact of this algorithm/application match can be alleviated is by using ensembles of classifiers, where a variety of classifiers (either different… CONTINUE READING
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