Learning by Disjunctive Spanning
A new concept-learning technique, disjunctive spanning, was developed to identify perceptual patterns. Similar to the Aq algorithm , this technique identifies disjunctive concepts without searching through a hierarchically-ordered generalization space. The disjunctive spanning algorithm was implemented in NEXUS, a speech recognition system designed to acquire knowledge about minimal articulatory units in speech recognition. Performance tests of NEXUS show it to be superior to a traditional speech recognition system when both systems were tested on the same highly-confusable vocabulary set.
KeywordsTest Stimulus Speech Recognition Concept Space Speech Recognition System Perceptual Pattern
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