%A Gabriele Scheler
%T Feature Selection with Exception Handling - An Example from Phonology
%X The goal in this paper is to show how the classification of 
phonetic features to phonemes can be acquired. This classificational process is modeled by a supervised feature 
selection method, based on adaptive distance measures. 
Exception handling is incorporated into a learned distance function by pointwise additions of Boolean functions for
individual pattern combinations. An important result is the 
differentiation of rules and exceptions during learning.
%K phonetic features, distance metrics, outliers, classification
%E Robert Trappl
%D 1994
%I Springer
%L cogprints1483

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