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Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
Frederik Hoppe
Claudio Mayrink Verdun
Hannah Laus
Felix Krahmer
Holger Rauhut
Published in:
CoRR (2024)
Keyphrases
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high dimensional
learning algorithm
learning process
online learning
prior knowledge
neural network
knowledge acquisition
learning systems
incremental learning
learning scheme
multi agent
feature space
dimensionality reduction
uncertain data
learning analytics
finite sample