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%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 cogprints8084