Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines

Giancarlo Fissore, Aurélien Decelle, Cyril Furtlehner +1

In a standard multi-output classification scenario, both features and labels of training data are partially observed. This challenging issue is widely witnessed due to sensor or da…