Agnostic feature selection

Guillaume Florent Doquet (1, 2, 3, 4) , Michèle Sebag (3, 2, 4, 1)

1 Université Paris-Saclay
2 CNRS - Centre National de la Recherche Scientifique
3 LRI - Laboratoire de Recherche en Informatique
4 TAU - TAckling the Underspecified

Mots clés: Feature selection; Interpretable models; Clustering and unsupervised learning

Domaines: Intelligence artificielle [cs.AI]; Réseau de neurones [cs.NE]

Guillaume Florent Doquet, Michèle Sebag. Agnostic feature selection. ECML PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2019, Würzburg, Germany. ⟨hal-02436824⟩