Epistemic Uncertainty in Artificial Intelligence

First International Workshop, Epi UAI 2023, Pittsburgh, PA, USA, August 4, 2023, Revised Selected Papers

Fabio Cuzzolin, Maryam Sultana (Herausgeber)

Buch | Softcover

XXVII, 113 Seiten

2024
Springer International Publishing (Verlag)
978-3-031-57962-2 (ISBN)

Infos

This LNCS 14523 conference volume constitutes the proceedings of the First International Workshop, Epi UAI 2023, in Pittsburgh, PA, USA, August 2023. The 8 full papers together included in this volume were carefully reviewed and selected from 16 submissions.

Epistemic AI focuses, in particular, on some of the most important areas of machine learning: unsupervised learning, supervised learning, and reinforcement learning.

Produkt-Details

• Erscheinungsdatum: 24.04.2024
• Reihe/Serie: Lecture Notes in Artificial Intelligence
• Reihe/Serie: Lecture Notes in Computer Science
• Zusatzinfo: XXVII, 113 p. 32 illus., 31 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Bayesian deep learning • epistemic uncertainty • generative AI • Monte Carlo Dropout • Probabilistic Machine Learning • Reinforcement Learning • uncertainty quantification • Variational Autoencoder
• ISBN-10: 3-031-57962-3 / 3031579623
• ISBN-13: 978-3-031-57962-2 / 9783031579622
• Zustand: Neuware