D
David Poole
Researcher at University of British Columbia
Publications - 229
Citations - 12337
David Poole is an academic researcher from University of British Columbia. The author has contributed to research in topics: Probabilistic logic & Bayesian network. The author has an hindex of 45, co-authored 228 publications receiving 11736 citations. Previous affiliations of David Poole include Canadian Institute for Advanced Research & University of Waterloo.
Papers
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Proceedings Article
Efficient inference in large discrete domains
Rita Sharma,David Poole +1 more
TL;DR: In this article, the problem of inference in Bayesian networks with discrete random variables that have very large or even unbounded domains is examined, and an inference algorithm based on variable elimination is proposed.
Proceedings Article
policy gradient planning for environmental decision making with existing simulators
Mark Crowley,David Poole +1 more
TL;DR: A landscape policy defined as the equilibrium distribution of a Markov chain built from many locally-parameterized policies is proposed using a policy gradient algorithm that demonstrates the algorithm's ability to devise policies for sustainable harvest planning of a forest.
CISpace: tools for learning computational intelligence
TL;DR: This paper describes CISpace: tools forlearning computational intelligence, a collection of interactive tools for learning AI, and how it fits in with other such tools.
Journal ArticleDOI
Negative probabilities in probabilistic logic programs
David Buchman,David Poole +1 more
TL;DR: It is shown that in the relational case with fixed populations, PLPs cannot represent many non-extreme distributions, even using negations, and how arbitrary CPDs can be converted into this form in a canonical way is shown.
Journal ArticleDOI
Interactive Visualization for Group Decision Analysis
S. Bajracharya,Giuseppe Carenini,Brent C. Chamberlain,K. Chen,Daniel R. Klein,David Poole,Hamed Taheri,Gunilla Öberg +7 more
TL;DR: The results suggest that a group decision tool that allows group members to input their individual preferences and then collectively probe into any differences makes the process of decision-making more participatory, transparent, and comprehensible and increases the quality and quantity of information exchange.