Learning a hyperplane regressor through a tight bound on the VC dimension.

Jayadeva Suresh Chandra Sanjit S. Batra Siddarth Sabharwal

Published in: Neurocomputing (2016)

Keyphrases

vc dimension
distribution free
hyperplane
lower bound
upper bound
inductive inference
worst case
learning problems
learning tasks
learning process
supervised learning
learning algorithm
training data
sample complexity
machine learning
input space
reinforcement learning
similarity measure