Learning Coefficient of Generalization Error in Bayesian Estimation and Vandermonde Matrix-Type Singularity.

Miki Aoyagi Kenji Nagata

Published in: Neural Comput. (2012)

Keyphrases

bayesian estimation
generalization error
learning algorithm
learning process
active learning
supervised learning
data sets
training set
model selection
machine learning
image processing
similarity measure
prior knowledge
incremental learning
inductive inference