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Learning Optimal Decision Trees using Constraint Programming

By Hélène Verhaeghe, Siegfried  Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus Decision trees are among the most popular classification models in machine learning. Traditionally, they are learned using greedy algorithms. However, such algorithms pose several disadvantages:...
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Explicit Control of Feature Relevance and Selection...

By Victor Hamer and Pierre Dupont. Feature selection is an important issue when one deals with large amounts of omics data. Feature selection offers interpretability of the predictive model to the domain expert. Such interpretability is strongly affected by the typical instability of current...
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Pluginizing QUIC

by Quentin De Coninck, François Michel, Maxime Piraux, Florentin Rochet, Thomas Given-Wilson, Axel Legay, Olivier Pereira, Olivier Bonaventure Application requirements evolve over time and the underlying protocols need to adapt. Most transport protocols evolve by negotiating protocol...
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Implementation of a Feature-Based Context-Oriented...

This paper will be presented at The 11th International Workshop on Context-Oriented Programming and Advanced Modularity (COP), at ECOOP 2019 - 15-19 July 2019 - Hammersmith, London, United Kingdom. We implemented a feature-based context-oriented programming language, which clearly separates...
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Beyond socket options: making the Linux TCP stack truly...

The Transmission Control Protocol (TCP) is one of the most important protocols in today’s Internet. It was designed to be extensible for various use cases. A client can propose to use an extension over a given TCP connection by sending an option that identifies this extension during the...
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