… oblique decision trees with accuracies comparable to those of large axis{parallel trees. … e
cient algorithms for nding good oblique decision surfaces in a decision tree. If construction of a …

… algorithm for inducing oblique decision trees from examples. … as an oblique decision tree
induction system and is available … other existing randomized oblique decision tree methods (…

… induce oblique DTs [6]. Their experiments with four small public-domain data sets showed
that sometimes GP can find oblique trees … to our GA for inducing oblique trees. The population …

… Different from virtually every top-down decision-tree induction algorithm, BUTIF … tree. We
compare distinct instances of BUTIF to traditional univariate and oblique decision-tree induction …

… tree, relying on an impurity-based measure for splitting nodes. In this paper, we propose a
novel bottom-up algorithm for inducing oblique trees … and oblique decision tree algorithms, C4.…

… problems, the top-down induction fails to find the optimal solution … induction of decision
trees is investigated. In contrast to the classical step-wise manner of tree building, the whole tree (…

… a genetically induced oblique decision tree algorithm. In traditional decision tree, each
internal node has a testing criterion involving a single attribute. Oblique decision tree allows …

… to oblique decision tree inference is presented. In the core of new decision tree inducing …
and compared with eight existing decision tree building algorithms using standard benchmark …

… the problem of oblique decision tree induction. The objectives are to demonstrate that EAs
can find classifiers whose accuracy is competitive with other oblique tree construction methods…

… hyperplanes to partition the data, we call them oblique decision trees. This paper presents
a new method for inducing oblique decision trees. As it constructs a tree, this method …