Methods for Explainable Artificial Intelligence
Author(s) -
T. Nathan Mundhenk,
Gerald Friedland
Publication year - 2020
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - Uncategorized
Resource type - Reports
DOI - 10.2172/1668498
Subject(s) - computer science , fidelity , artificial neural network , code (set theory) , artificial intelligence , statistic , source code , overhead (engineering) , class (philosophy) , machine learning , set (abstract data type) , programming language , statistics , telecommunications , mathematics
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