Now showing items 1-2 of 2
Omnivariate Rule Induction Using a Novel Pairwise Statistical Test
(IEEE Computer Soc, 2013-09)
Rule learning algorithms, for example, RIPPER, induces univariate rules, that is, a propositional condition in a rule uses only one feature. In this paper, we propose an omnivariate induction of rules where under each ...
On the feature extraction in discrete space
(ELSEVIER SCI LTD., 2014-05)
In many pattern recognition applications, feature space expansion is a key step for improving the performance of the classifier. In this paper, we (i) expand the discrete feature space by generating all orderings of values ...