Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery.

Grace W. Rumantir Chris S. Wallace

Published in: IDA (2001)

Keyphrases

highly correlated
experimental data
data sets
probabilistic model
input data
knowledge discovery
polynomial regression
decision trees
high correlation
feature extraction
prior knowledge
high dimensional data
naive bayes
locally weighted