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Found 6 papers, 0 papers with code
A Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes
In this paper, we research the prediction models that can be used to predict an individual e-cigarette user's (including non-e-cigarette users) intention to smoke cigarettes, so that one can be early informed about the risk of going down the path of smoking cigarettes.
Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud
In this paper, we develop a computing system platform focusing on collective intelligence causal modeling, in order to support PSAW in the domain of infectious disease.
MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model
Developing a MEBN model from data stored in an RDB therefore requires mapping between the two formalisms.
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness
MEBN can be a formal representation to support PSAW and has been used for several PSAW systems.
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks
The trade-off algorithm performs pre-processing to find optimal run-time settings for the extended algorithm.
Human-aided Multi-Entity Bayesian Networks Learning from Relational Data
MEBN goes beyond standard Bayesian networks to enable reasoning about an unknown number of entities interacting with each other in various types of relationships, a key requirement for the OODA process of an AI system.
