6 citations · 9 across the 7 of their papers we have counts for
4 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…
MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model
Cheol Young Park, Kathryn Blackmond Laskey
Multi-Entity Bayesian Network (MEBN) is a knowledge representation formalism combining Bayesian Networks (BN) with First-Order Logic (FOL). MEBN has sufficient expressive power for…
Human-aided Multi-Entity Bayesian Networks Learning from Relational Data
Cheol Young Park, Kathryn Blackmond Laskey
An Artificial Intelligence (AI) system is an autonomous system which emulates human mental and physical activities such as Observe, Orient, Decide, and Act, called the OODA process…
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…