2 code implementations • 23 May 2019 • Enguerrand Horel, Kay Giesecke
We develop a simple and computationally efficient significance test for the features of a machine learning model.
1 code implementation • 16 Feb 2019 • Enguerrand Horel, Kay Giesecke
We develop a pivotal test to assess the statistical significance of the feature variables in a single-layer feedforward neural network regression model.
no code implementations • 3 Dec 2018 • Enguerrand Horel, Virgile Mison, Tao Xiong, Kay Giesecke, Lidia Mangu
Although neural networks can achieve very high predictive performance on various different tasks such as image recognition or natural language processing, they are often considered as opaque "black boxes".