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Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization.
Konstantin Dietrich
Diederick Vermetten
Carola Doerr
Pascal Kerschke
Published in:
CoRR (2024)
Keyphrases
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black box
learning algorithm
preprocessing
multiple instance learning
data reduction
instance selection
probabilistic model
black boxes
neural network
rough sets
training samples
data compression
nearest neighbor
active learning
image retrieval
similarity measure
feature selection