Blar i NOFIMA vitenarkiv på forfatter "Sæbø, Solve"

Viser treff 1-2 av 2

    • Analysis of Megavariate Data in Functional Omics 

      Mosleth, Ellen Færgestad; McLeod, Anette; Rud, Ida; Axelsson, Lars; Solberg, Lars Erik; Moen, Birgitte; Gilman, Krista Marie Erickson; Færgestad, Eline Mosleth; Lysenko, Artem; Rawlings, Chris; Dankel, Simon N; Mellgren, Gunnar; Barajas-Olmos, Francisco Martin; Orozco, Lorena Sofia; Sæbø, Solve; Gidskehaug, Lars; Janbu, Astrid Oust; Kohler, Achim; Martens, Harald Aagaard; Liland, Kristian Hovde (Chapter, 2020)

    • Distribution based truncation for variable selection in subspace methods for multivariate regression 

      Liland, Kristian Hovde; Høy, Martin; Martens, Harald; Sæbø, Solve (Peer reviewed; Journal article, 2013)
      Analysis of data containing a vast number of features, but only a limited number of informative ones, requires methods that can separate true signal from noise variables. One class of methods attempting this is the sparse ...