A pragmatic approach to multi-class classification

no code implementations • 6 Jan 2016 • Thomas Kopinski, Stéphane Magand, Uwe Handmann, Alexander Gepperth

We present a novel hierarchical approach to multi-class classification which is generic in that it can be applied to different classification models (e. g., support vector machines, perceptrons), and makes no explicit assumptions about the probabilistic structure of the problem as it is usually done in multi-class classification.

Classification General Classification +2