Classification with overlapping feature intervals
Author
Koç, Hakime Ünsal
Advisor
Güvenir, Altay
Date
1995Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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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 learningsupervised learning
inductive learning
incremental learning
overlapping feature intervals
concept description