* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in
Complex Systems. This is an extended abstract version of arXiv:1610.02391
(CVPR format) Access Paper or Ask Questions
* 5 pages, 4 figures, 3 tables, presented at 2016 ICML Workshop on
Human Interpretability in Machine Learning (WHI 2016), New York, NY. arXiv
admin note: substantial text overlap with arXiv:1606.03556 Access Paper or Ask Questions
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