xxAI - Beyond Explainable AI
International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers
This is an open access book.Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. Explainable AI is receiving huge interest in the machine learning and AI research communities, across academia, industry, and government, and th…
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Produktdetails
Weitere Autoren: Goebel, Randy (Hrsg.) / Samek, Wojciech (Hrsg.) / Moon, Taesup (Hrsg.) / Müller, Klaus-Robert (Hrsg.) / Fong, Ruth (Hrsg.)
- ISBN: 978-3-031-04082-5
- EAN: 9783031040825
- Produktnummer: 38749535
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 408 S.
- Masse: H23.5 cm x B15.5 cm x D2.1 cm 616 g
- Auflage: 1st ed. 2022
- Abbildungen: Paperback
- Reihenbandnummer: 13200
- Gewicht: 616
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