377 citations · 811 across the 28 of their papers we have counts for
20 papers · 1 filter
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness
Cheol Young Park, Kathryn Blackmond Laskey
During the past quarter-century, situation awareness (SAW) has become a critical research theme, because of its importance. Since the concept of SAW was first introduced during Wor…
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks
Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa +1
Hybrid Bayesian Networks (HBNs), which contain both discrete and continuous variables, arise naturally in many application areas (e.g., image understanding, data fusion, medical di…
Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (1999)
Kathryn Laskey, Henri Prade
This is the Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, which was held in Stockholm Sweden, July 30 - August 1, 1999
An Application of Non-Monotonic Probabilistic Reasoning to Air Force Threat Correlation
Kathryn Blackmond Laskey, Marvin S. Cohen
Current approaches to expert systems' reasoning under uncertainty fail to capture the iterative revision process characteristic of intelligent human reasoning. This paper reports o…
Belief in Belief Functions: An Examination of Shafer's Canonical Examples
Kathryn Blackmond Laskey
In the canonical examples underlying Shafer-Dempster theory, beliefs over the hypotheses of interest are derived from a probability model for a set of auxiliary hypotheses. Beliefs…
Hierarchical Evidence and Belief Functions
Paul K. Black, Kathryn Blackmond Laskey
Dempster/Shafer (D/S) theory has been advocated as a way of representing incompleteness of evidence in a system's knowledge base. Methods now exist for propagating beliefs through…