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Investigating benchmark correlations when comparing algorithms with parameter tuning.
Lee A. Christie
Alexander E. I. Brownlee
John R. Woodward
Published in:
GECCO (Companion) (2018)
Keyphrases
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parameter tuning
ink bleed
computational complexity
parameter settings
learning algorithm
orders of magnitude
machine learning
computational cost
benchmark datasets
times faster
recently developed
feature selection
data structure
significant improvement
optimization problems