Blar i TKD - Institutt for informasjonsteknologi på tidsskrift "Information Sciences"

Viser treff 1-4 av 4

    • “Anti-Bayesian” flat and hierarchical clustering using symmetric quantiloids 

      Hammer, Hugo Lewi; Yazidi, Anis; Oommen, John (Journal article; Peer reviewed, 2017)
      A Pattern Recognition (PR) system that does not involve labelled samples requires the clustering of the samples into their respective classes before the training and testing can be achieved. All of the reported clustering ...

    • Joint tracking of multiple quantiles through conditional quantiles 

      Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (Information Sciences;Volume 563, July 2021, Peer reviewed; Journal article, 2021-03-05)
      The estimation of quantiles is one of the most fundamental data mining tasks. As most real-time data streams vary dynamically over time, there is a quest for adaptive quantile estimators. The most well-known type of adaptive ...

    • A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search 

      Yazidi, Anis; Oommen, John (Information Sciences;Volume 393, Journal article; Peer reviewed, 2017-07)
      The most fundamental problem encountered in the field of stochastic optimization, is the Stochastic Root Finding (SRF) problem where the task is to locate an unknown point x∗ for which g(x∗) = 0 for a given function g ...

    • A personality-aware group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Information Sciences;Volume 595, May 2022, Peer reviewed; Journal article, 2022-02-25)
      Human personality plays a crucial role in decision-making and it has paramount importance when individuals negotiate with each other to reach a common group decision. Such situations are conceivable, for instance, when a ...