Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000)
Craig Boutilier, Moises Goldszmidt
TL;DR
This collection presents a range of research papers and discussions from the 2000 UAI conference, focusing on advances in handling uncertainty within artificial intelligence systems.
Contribution
It compiles diverse research contributions from the 2000 UAI conference, highlighting the state-of-the-art in uncertainty reasoning and AI methodologies.
Findings
Various new algorithms for probabilistic reasoning
Innovations in Bayesian network modeling
Enhanced methods for decision-making under uncertainty
Abstract
This is the Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, which was held in San Francisco, CA, June 30 - July 3, 2000
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Taxonomy
TopicsAI-based Problem Solving and Planning