posterior

アルゴリズム:Algorithms

Explainable Machine Learning

In the first half of Molnar's paper on Explainable Artificial Intelligence, he outlines that explanations can be intrinsic or post-hoc, and in the latter approach, an algorithm is used to construct an explanation from input-output pairs. A good explanation is one that can be compared with counterexamples.
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