Now showing items 1-3 of 3

    • Batch learning of disjoint feature intervals 

      Akkuş, Aynur (Bilkent University, 1996)
      This thesis presents several learning algorithms for multi-concept descriptions in the form of disjoint feature intervals, called Feature Interval Learning algorithms (FIL). These algorithms are batch supervised inductive ...
    • Classification with overlapping feature intervals 

      Koç, Hakime Ünsal (Bilkent University, 1995)
      This thesis presents a new form of exemplar-based learning method, based on overlapping feature intervals. Classification with Overlapping Feature Intervals (COFI) is the particular implementation of this technique. In ...
    • Learning with feature partitions 

      Şirin, İzzet (Bilkent University, 1993)
      This thesis presents a new methodology of learning from examples, based on feature partitioning. Classification by Feature Partitioning (CFP) is a particular implementation of this technique, which is an inductive, ...