• Distributed Learning Automata-based S-learning scheme for classification 

      Goodwin, Morten; Yazidi, Anis; Jonassen, Tore Møller (Pattern Analysis and Applications;Published online 12 October 2019, Journal article; Peer reviewed, 2019-09-10)
      This paper proposes a novel classifier based on the theory of Learning Automata (LA), reckoned to as PolyLA. The essence of our scheme is to search for a separator in the feature space by imposing an LA-based random walk ...
    • Distributed learning automata-based scheme for classification using novel pursuit scheme 

      Goodwin, Morten; Yazidi, Anis (Applied intelligenc;volume 50, issue 7, Peer reviewed; Journal article, 2020-03-02)
      Learning Automata (LA) is a popular decision making mechanism to “determine the optimal action out of a set of allowable actions” (Agache and Oommen, IEEE Trans Syst Man Cybern-Part B Cybern 2002(6): 738–749, 2002). The ...
    • PolyACO+: a multi-level polygon-based ant colony optimisation classifier 

      Goodwin, Morten; Tufteland, Torry; Ødesneltvedt, Guro; Yazidi, Anis (Swarm Intelligence;Volume 11, Issue 3–4, Journal article; Peer reviewed, 2017-12)
      Ant Colony Optimisation for classification has mostly been limited to rule based approaches where artificial ants walk on datasets in order to extract rules from the trends in the data, and hybrid approaches which attempt ...