Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics

  title={Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics},
  author={Seppo Puuronen and Iryna Skrypnyk and Alexey Tsymbal},
Recent research has proven the benefits of using ensembles of classifiers for classification problems. Ensembles of diverse and accurate base classifiers are constructed by machine learning methods manipulating the training sets. One way to manipulate the training set is to use feature selection heuristics generating the base classifiers. In this paper we examine two of them: correlation-based and contextual merit -based heuristics. Both rely on quite similar assumptions concerning… CONTINUE READING

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