XVIIth International Conference of the Italian Association for Artificial Intelligence 2018

Extremely Randomized CNets for Multi-label Classification

XVIIth International Conference of the Italian Association for Artificial Intelligence 2018 • nicoladimauro/mlxcnet

Promising approaches for MLC are those able to capture label dependencies by learning a single probabilistic model—differently from other competitive approaches requiring to learn many models.

DENSITY ESTIMATION MULTI-LABEL CLASSIFICATION