Effects of the sample size in artificial neural network classifier design.

Shunji Uchimura Yoshihiko Hamamoto Shingo Tomita

Published in: ICNN (1995)

Keyphrases

sample size
artificial neural networks
small sample
experimental design
upper bound
worst case
small sample size
pac learning
model selection
data sets
training data
covariance matrix
decision trees
training set
knowledge acquisition
support vector
random sampling
learning algorithm
machine learning
neural network