Ryuichi Kanoh

Interpretable Mixture Density Estimation by use of Differentiable\n Tree-module

2021 · arXiv (Cornell University)

In order to develop reliable services using machine learning, it is important\nto understand the uncertainty of the model outputs. Often the probability\ndistribution that the prediction target follows has a complex shape, and a\nmixture distribution is …