Model Selection for Regularized Least-Squares Algorithm in Learning Theory.

Ernesto De Vito Andrea Caponnetto Lorenzo Rosasco

Published in: Found. Comput. Math. (2005)

Keyphrases

model selection
learning theory
regularized least squares
cross validation
generalization bounds
sample size
bayesian framework
hyperparameters
information criterion
learning algorithm
decision trees
training data
objective function
regression model
closed form
gaussian process