A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams.

Thomas Lacombe Yun Sing Koh Gillian Dobbie Ocean Wu

Published in: IJCNN (2021)

Keyphrases

meta learning
evolving data streams
model selection
inductive learning
learning tasks
data streams
concept drift
machine learning algorithms
streaming data
decision trees
random forests
stream mining
machine learning
data mining
feature selection
text classification
bayesian networks