---
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.
altloc:
- http://www.in.tum.de/~scheler/pub/emcsr.html
chapter: ~
commentary: ~
commref: ~
confdates: September 1994
conference: European Meeting on Systems and Cybernetics
confloc: Vienna
contact_email: ~
creators_id: []
creators_name:
- family: Scheler
given: Gabriele
honourific: ''
lineage: ''
date: 1994
date_type: published
datestamp: 2001-05-08
department: ~
dir: disk0/00/00/14/83
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name:
- family: Trappl
given: Robert
honourific: ''
lineage: ''
eprint_status: archive
eprintid: 1483
fileinfo: /style/images/fileicons/application_postscript.png;/1483/2/scheler_phonology.ps
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'phonetic features, distance metrics, outliers, classification'
lastmod: 2012-11-09 19:35:15
latitude: ~
longitude: ~
metadata_visibility: no_search
note: ~
number: ~
pagerange: ~
pubdom: FALSE
publication: ~
publisher: Springer
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 11
series: ~
source: ~
status_changed: 2007-09-12 16:38:01
subjects:
- comp-sci-speech
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: 'Feature Selection with Exception Handling - An Example from Phonology'
type: confpaper
userid: 1760
volume: ~