U
Uffe Kjærulff
Researcher at Aalborg University
Publications - 55
Citations - 2781
Uffe Kjærulff is an academic researcher from Aalborg University. The author has contributed to research in topics: Bayesian network & Inference. The author has an hindex of 23, co-authored 55 publications receiving 2681 citations. Previous affiliations of Uffe Kjærulff include University of Chicago.
Papers
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Book
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
Uffe Kjærulff,Anders L. Madsen +1 more
TL;DR: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks.
Book ChapterDOI
A computational scheme for reasoning in dynamic probabilistic networks
TL;DR: The scheme is viewed as a generalization of the inference methods of classical time-series analysis in the sense that it allows description of non-linear, multivariate dynamic systems with complex conditional independence structures.
Patent
Automated diagnosis of printer systems using bayesian networks
Claus Skaanning,Finn V. Jensen,Uffe Kjærulff,Paul A. Pelletier,Lasse Rostrup Jensen,Marilyn A. Parker,Janice L. Bogorad +6 more
TL;DR: In this paper, an automated diagnostic system uses Bayesian networks to diagnose a system using knowledge acquisition and knowledge acquisition is performed in preparation to diagnose the system, and an issue to diagnose is identified.
Journal ArticleDOI
Blocking Gibbs sampling in very large probabilistic expert systems
TL;DR: Results are presented showing that blocking-Gibbs sampling converges much faster than plain Gibbs sampling for very complex problems.
Journal ArticleDOI
dHugin: a computational system for dynamic time-sliced Bayesian networks
TL;DR: The system may be viewed as a generalization of the inference methods of classical discrete time-series analysis in the sense that it allows description of non-linear, discrete multivariate dynamic systems with complex conditional independence structures.