"Natively Interpretable Machine Learning and Artificial Intelligence: ..."

Christopher J. Hazard et al. (2019)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2019-01-31

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1901-00246
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1901-00246
Christopher J. Hazard, Christopher Fusting, Michael Resnick, Michael Auerbach, Michael Meehan, Valeri Korobov:
Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions. CoRR abs/1901.00246 (2019)

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