Selaus tekijän mukaan kokoelmassa "Jabłońska-Sabuka, Matylda"Väitöskirjat

    • Heuristic similarity- and distance-based supervised feature selection methods 

      Lohrmann, Christoph
      Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 16.12.2019)
      In the field of machine learning, the available data often contain many features to describe phenomena. This can pose a problem since only those features that are relevant to characterize the target concept are needed, ...