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Supervised learning in the presence of concept drift: a modelling framework.
Michiel Straat
Fthi Abadi
Zhuoyun Kan
Christina Göpfert
Barbara Hammer
Michael Biehl
Published in:
Neural Comput. Appl. (2022)
Keyphrases
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principal component analysis
concept drift
supervised learning
dimensionality reduction
multiple instance learning
data streams
computer vision
non stationary
unsupervised learning
training set
learning process
change detection
feature selection
streaming data
data mining
evolving data streams
drifting concepts