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      • Bilkent Theses
      • Theses - Department of Computer Engineering
      • Dept. of Computer Engineering - Master's degree
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      Classification with overlapping feature intervals

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      Author
      Koç, Hakime Ünsal
      Advisor
      Güvenir, Altay
      Date
      1995
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      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 this incremental, inductive and supervised learning method, the basic unit of the representation is an interval. The COFI algorithm learns the projections of the intervals in each class dimension for each feature. An interval is initially a point on a class dimension, then it can be expanded through generalization. No specialization of intervals is done on class dimensions by this algorithm. Classification in the COFI algorithm is based on a majority voting among the local predictions that are made individually by each feature.
      Keywords
      machine learning
      supervised learning
      inductive learning
      incremental learning
      overlapping feature intervals
      concept description
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      http://hdl.handle.net/11693/17727
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      • Dept. of Computer Engineering - Master's degree 508
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