19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007) ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming Paris, France October 29-October 31 ISBN: 0-7695-3015-X
In this paper we developed an Inductive Logic Pro- gramming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning model, to describe the behavior of the opaque model with high fidelity while maintaining the sim- plicity of the Horn clauses for human interpretations.
Citation:
Yunsong Guo, Bart Selman, "ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming," ictai, vol. 2, pp.226-22-, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||