Selaus avainsanan mukaan kokoelmassa "feature selection"Väitöskirjat

Aineistot 1-3 / 3

    • 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, ...

    • Novel fuzzy k-nearest neighbor methods for effective classification and regression 

      Mailagaha Kumbure, Mahinda
      Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 10.11.2022)
      With the advancement of technology in many areas, an immense amount of data has currently become available, and discovering patterns and trends from this data is a core subject of interest in machine learning research. ...

    • Price spike forecasting in a competitive day-ahead energy market 

      Voronin, Sergey
      Acta Universitatis Lappeenrantaensis (Lappeenranta University of Technology, 01.11.2013)
      Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants ...