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Inductive supervised quantum learning

Published in arXiv (Cornell University) • May 24, 2016
NobleIDNI9P62W84R33S38
Authors:
Alex Monràs
,
Gael Sentís
,
Peter Wittek

Abstract

In supervised learning, an inductive learning algorithm extracts general rules from observed training instances, then the rules are applied to test instances. We show that this splitting of training and application arises naturally, in the classical setting, from a simple independence requirement wi...

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