Blar i NTNU Open på forfatter "Riege, Jon"
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Stochastic Local Search for Efficient Hybrid Feature Selection
Mengshoel, Ole Jakob; Yu, Tong; Riege, Jon; Flogard, Eirik Lund (Chapter, 2021)There is a need to study not only accuracy but also computational cost in machine learning. Focusing on both accuracy and computational cost of feature selection, we develop and test stochastic local search (SLS) heuristics ... -
Stochastic Local Search Heuristics for Efficient Feature Selection: An Experimental Study
Mengshoel, Ole Jakob; Flogard, Eirik Lund; Riege, Jon; Yu, Tong (Peer reviewed; Journal article, 2021) -
Stochastic Multiplicative Updates for Symmetric Nonnegative Matrix Factorization
Schlüter, Klara; Riege, Jon (Master thesis, 2021)Innen maskinlæring brukes symmetrisk ikkenegativ matrisefaktorisering (NMF) i forbindelse med clusteranalyse. NMF utføres ofte ved hjelp av algoritmer som tar i bruk multiplikative oppdateringer (MU). Disse har den fordelen ... -
Stochastic Multiplicative Updates for Symmetric Nonnegative Matrix Factorization
Schlüter, Klara; Riege, Jon (Master thesis, 2021)Innen maskinlæring brukes symmetrisk ikkenegativ matrisefaktorisering (NMF) i forbindelse med clusteranalyse. NMF utføres ofte ved hjelp av algoritmer som tar i bruk multiplikative oppdateringer (MU). Disse har den fordelen ... -
Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search
Mengshoel, Ole Jakob; Flogard, Eirik Lund; Yu, Tong; Riege, Jon (Chapter, 2022)With a focus on both the fitness and cost of subset selection, we study stochastic local search (SLS) heuristics in this paper. In particular, we consider subset selection problems where the cost of fitness function ...