• Dynamic class imbalance learning for incremental LPSVM 

      Pang, Shaoning; Zhu, Lei; Chen, Gang; Sarrafzadeh, Hossein; Ban, Tao; Inoue, Daisuke (Neural Networks, 2013-02)
      Linear Proximal Support Vector Machines (LPSVMs), like decision trees, classic SVM, etc. are originally not equipped to handle drifting data streams that exhibit high and varying degrees of class imbalance. For online ...
    • Incremental and decremental max-flow for online semi-supervised learning 

      Zhu, Lei; Pang, Shaoning; Sarrafzadeh, Hossein; Ban, Tao; Inoue, Daisuke (Institute of Electrical and Electronics Engineers (IEEE), 2016-04-13)
      Max-flow has been adopted for semi-supervised data modelling, yet existing algorithms were derived only for the learning from static data. This paper proposes an online max-flow algorithm for the semi-supervised learning ...
    • Smart Task Orderings for Active Online Multitask Learning 

      Pang, Paul; An, Jianbei; Zhao, Jing; Li, Xiaosong; Ban, Tao; Inoue, Daisuke; Sarrafzadeh, Hossein (Society for Industrial and Applied Mathematics, Activity Group on Data Mining and Analytics, 2014-04-26)
      This paper promotes active oMTL (i.e., Online Multitask Learning with task selection) by proposing two smart task ordering approaches: QR-decomposition Ordering and Minimal-loss Ordering, in which the optimal sequence of ...