Abduction-Based Explanations for Machine Learning Models

national conference on artificial intelligence, 2019.

Cited by: 30|Bibtex|Views18|DOI:https://doi.org/10.1609/aaai.v33i01.33011511
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

The growing range of applications of Machine Learning (ML) in a multitude of settings motivates the ability of computing small explanations for predictions made. Small explanations are generally accepted as easier for human decision makers to understand. Most earlier work on computing explanations is based on heuristic approaches, providi...More

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