A measure of relative entropy between individual sequences with application to universal classification.

Jacob Ziv Neri Merhav

Published in: IEEE Trans. Inf. Theory (1993)

Keyphrases

relative entropy
classification accuracy
covariance matrix
decision trees
information theory
feature selection
machine learning
similarity measure
mutual information
feature vectors
log likelihood
support vector machine
distance measure
mahalanobis distance