no code implementations • 22 May 2018 • Romain Brault, Alex Lambert, Zoltán Szabó, Maxime Sangnier, Florence d'Alché-Buc
A step further consists of learning a continuum of tasks for various loss functions.
1 code implementation • 7 Nov 2016 • Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino
Random Forests (RFs) are strong machine learning tools for classification and regression.
no code implementations • 9 May 2016 • Romain Brault, Florence d'Alché-Buc, Markus Heinonen
Devoted to multi-task learning and structured output learning, operator-valued kernels provide a flexible tool to build vector-valued functions in the context of Reproducing Kernel Hilbert Spaces.