Feature Selection for High-Dimensional Data: The Issue of Stability

  • Barbara Pes
  • Published 2017 in
    2017 IEEE 26th International Conference on…

Abstract

Feature selection has become a necessary step to the analysis of high-dimensional datasets coming from several application domains (e.g., web data, document and image analysis, biological data). Though well-established methods exist to select highly discriminative features, discarding the ones that may be either redundant or irrelevant to the problem at… (More)
DOI: 10.1109/WETICE.2017.28

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