Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)
Jeff Bilmes, Andrew Ng
TL;DR
This document compiles research papers and discussions from the 25th UAI conference, focusing on advances in handling uncertainty within artificial intelligence systems.
Contribution
It provides a comprehensive collection of recent research contributions and discussions from the 2009 UAI conference.
Findings
Diverse approaches to uncertainty modeling
New algorithms for probabilistic reasoning
Insights into AI decision-making under uncertainty
Abstract
This is the Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, which was held in Montreal, QC, Canada, June 18 - 21 2009.
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Taxonomy
TopicsAI-based Problem Solving and Planning · Semantic Web and Ontologies · Statistical and Computational Modeling