In this paper, we propose a new ensemble method, Random Ordinality Ensembles (ROE), that reduces this problem, and provides significantly improved accuracies.

In this paper, we propose a new ensemble method, Random Ordinality Ensembles (ROE), that reduces this problem, and provides significantly improved accuracies ...

In this paper, we propose a new ensemble method, Random Ordinality. Ensembles (ROE), that circumvents this problem, and provides signif- icantly improved ...

We perform a random projection of the categorical data into a continuous space by imposing random ordinality on categorical attribute values. A decision tree ...

In this paper, we propose a new ensemble method, Random Ordinality Ensembles (ROE), that reduces this problem, and provides significantly improved accuracies ...

In this paper, we propose a new ensemble method, Random Ordinality Ensembles (ROE), that reduces this problem, and provides significantly improved accuracies ...

Random Ordinality Ensembles. Data with multi-valued categorical attributes can cause major problems for decision trees. · Random feature weights for decision ...

Aug 31, 2024 · Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data ...

In this paper, we propose a new ensemble method , Random Ordinality Ensembles (ROE), that reduces this problem, and provides significantly improved accuracies ...

Random Ordinality Ensembles : A Novel Ensemble Method for Multi-Valued Categorical Data. Published in Intl Workshop on Multiple Classifier Systems.