Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (1995)
Philippe Besnard, Steve Hanks
TL;DR
This paper compiles the proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, showcasing research and discussions from experts on handling uncertainty in AI systems held in 1995.
Contribution
It provides a comprehensive collection of research papers and insights from the 1995 conference, serving as a valuable resource for AI uncertainty studies.
Findings
Diverse approaches to uncertainty modeling
Advancements in probabilistic reasoning
New algorithms for uncertain inference
Abstract
This is the Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, which was held in Montreal, QU, August 18-20, 1995
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Taxonomy
TopicsAI-based Problem Solving and Planning