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Learning from String Sequences

Published in arXiv (Cornell University) • May 10, 2024
NobleIDNI4P41W24R97S50
Authors:
David Lindsay
,
Siân Lindsay

Abstract

The Universal Similarity Metric (USM) has been demonstrated to give practically useful measures of "similarity" between sequence data. Here we have used the USM as an alternative distance metric in a K-Nearest Neighbours (K-NN) learner to allow effective pattern recognition of variable length sequen...

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