Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems

Abstract

This is the Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems, held in Barcelona, Spain on December 9, 2016

31 papers

Cited by in corpus (2)

• On Cognitive Preferences and the Plausibility of Rule-based Models
• Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach