A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data

Documenti analoghi

• Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
  di: Fu, Guang-Hui, et al.
  Pubblicazione: (2020)
• Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms
  di: Jagdhuber, Rudolf, et al.
  Pubblicazione: (2020)
• Sparse Zero-Sum Games as Stable Functional Feature Selection
  di: Sokolovska, Nataliya, et al.
  Pubblicazione: (2015)
• Sparse Proteomics Analysis – a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data
  di: Conrad, Tim O. F., et al.
  Pubblicazione: (2017)
• Feature Selection for high Dimensional DNA Microarray data using hybrid approaches
  di: Kumar, Ammu Prasanna, et al.
  Pubblicazione: (2013)