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 ArticleDOI
Knowledge Hypergraphs: Prediction Beyond Binary Relations
TL;DR: This work introduces HSimplE and HypE, two embedding-based methods that work directly with knowledge hypergraphs and develops public datasets, benchmarks and baselines for hypergraph prediction and shows experimentally that the proposed models are more effective than the baselines.
Posted Content
The use of conflicts in searching Bayesian networks
TL;DR: In this paper, a search-based algorithm for computing prior and posterior probabilities in discrete Bayesian networks is presented, which is an "anytime" algorithm that at any stage can estimate the probabilities and give an error bound.
Posted Content
RelNN: A Deep Neural Model for Relational Learning
Seyed Mehran Kazemi,David Poole +1 more
TL;DR: RelNN as mentioned in this paper adds hidden layers to relational logistic regression to learn latent properties for objects both directly and through general rules, and uses back-propagation for training these models.
Book ChapterDOI
Semantic Science: Ontologies, Data and Probabilistic Theories
TL;DR: The grand vision, issues that have arisen in building such systems for the geological domain (minerals exploration and geohazards), and the formal foundations that underlie this vision are presented.