ML

Progressively Balanced Multi-class Neural Trees

Decision trees are discriminative classifiers that hierarchically partition the input space to achieve regions containing instances having uniform class label. Existing works in this area have mostly focused on C4.5 trees that learn axis aligned …

Progressively Balanced Multi-class Neural Trees

Proposed and tested an entropy impurity based objective function for incorporating a learnable perceptron into the decision tree framework. Demonstrated that the learned classifier achieves comparable accuracy with fewer test time computations than an MLP