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Algorithm Runtime Prediction: Methods & Evaluation

Published in arXiv (Cornell University) • Nov 5, 2012
Authors:
Frank Hutter
,
Lin Xu
,
Holger H. Hoos

Abstract

Perhaps surprisingly, it is possible to predict how long an algorithm will take to run on a previously unseen input, using machine learning techniques to build a model of the algorithm's runtime as a function of problem-specific instance features. Such models have important applications to algorithm...

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