Barron and Cover's Theory in Supervised Learning and its Application to Lasso.

Masanori Kawakita Jun'ichi Takeuchi

Published in: ICML (2016)

Keyphrases

supervised learning
training data
unsupervised learning
theoretical framework
reinforcement learning
computational model
feature selection
learning algorithm
variable selection
general theory
model selection
least squares
linear combination
semi supervised
supervised classification
theoretical basis
formal theory