creators_name: Scheler, Gabriele
creators_id: gscheler@gmail.com
editors_name: Trappl, Robert
type: confpaper
datestamp: 2012-11-09 19:35:15
lastmod: 2012-11-09 19:35:15
metadata_visibility: show
title: Feature Selection with Exception Handling - An Example from Phonology
ispublished: pub
subjects: comp-sci-mach-learn
subjects: comp-sci-speech
subjects: comp-sci-stat-model
subjects: ling-phono
full_text_status: public
keywords: phonetic features, distance metrics, outliers, classification
abstract: 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.
date: 1994
date_type: published
publisher: Springer
refereed: TRUE
citation:   Scheler, Gabriele  (1994) Feature Selection with Exception Handling - An Example from Phonology.  [Conference Paper]     
document_url: http://cogprints.org/8084/2/scheler_phonology.ps
document_url: http://cogprints.org/8084/3/scheler_phonology.pdf