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Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks
Cheol Young Park, Shou Matsumoto
We introduce the Free Energy Manifold (FEM), a score-trained conditional energy model specialized for inference in hybrid Bayesian networks with discrete and continuous variables.…
A Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes
Seung Joon Nam, Han Min Kim, Thomas Kang +1
The use of electronic cigarette (e-cigarette) is increasing among adolescents. This is problematic since consuming nicotine at an early age can cause harmful effects in developing…
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…