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Found 3 papers, 1 papers with code
Generating Compact Tree Ensembles via Annealing
Tree ensembles are flexible predictive models that can capture relevant variables and to some extent their interactions in a compact and interpretable manner.
Random Hinge Forest for Differentiable Learning
We propose random hinge forests, a simple, efficient, and novel variant of decision forests.
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks
Artificial Neural Networks form the basis of very powerful learning methods.
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