Bounding Random Test Set Size with Computational Learning Theory.

Neil Walkinshaw Michael Foster José Miguel Rojas Robert M. Hierons

Published in: CoRR (2024)

Keyphrases

test set
computational learning theory
learning theory
error rate
training set
pac learning
test data
random selection
training data
information theoretic
evaluation methodology
learning problems
object recognition
multi class
computational complexity
uniform distribution
support vector
learning algorithm