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Memory-Based Meta-Learning on Non-Stationary Distributions.
Tim Genewein
Grégoire Delétang
Anian Ruoss
Li Kevin Wenliang
Elliot Catt
Vincent Dutordoir
Jordi Grau-Moya
Laurent Orseau
Marcus Hutter
Joel Veness
Published in:
CoRR (2023)
Keyphrases
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non stationary
meta learning
inductive learning
learning tasks
meta knowledge
model selection
machine learning algorithms
decision trees
feature selection
data mining
adaptive algorithms
learning algorithm
change point detection
metamodel
base classifiers
test set
knn
case study