Search Results for author: Federico D'Onofrio

Found 2 papers, 1 papers with code

Feature selection in linear SVMs via hard cardinality constraint: a scalable SDP decomposition approach

no code implementations • 15 Apr 2024 • Immanuel Bomze, Federico D'Onofrio, Laura Palagi, Bo Peng

In this paper, we study the embedded feature selection problem in linear Support Vector Machines (SVMs), in which a cardinality constraint is employed, leading to a fully explainable selection model.

Benchmarking feature selection

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Margin Optimal Classification Trees

1 code implementation • 19 Oct 2022 • Federico D'Onofrio, Giorgio Grani, Marta Monaci, Laura Palagi

Thanks to their interpretability, decision trees have been intensively studied for classification tasks and, due to the remarkable advances in mixed integer programming (MIP), various approaches have been proposed to formulate the problem of training an Optimal Classification Tree (OCT) as a MIP model.

Binary Classification Classification +2

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