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Best Choices for Regularization Parameters in Learning Theory: On the Bias-Variance Problem.
Felipe Cucker
Steve Smale
Published in:
Found. Comput. Math. (2002)
Keyphrases
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learning theory
regularization parameter
bias variance
trade off
image restoration
cross validation
computational learning theory
generalized cross validation
hyperparameters
low variance
model selection
noise variance
support vector
pac learning