Research on Confusion Network Algorithm Based on Minimum Bayes Risk Decision Rule

2007 ◽  
Author(s):  
Bin Wu ◽  
Gang Liu ◽  
Jun Guo
Keyword(s):  
Decision Rule ◽  
Bayes Risk ◽  
Network Algorithm ◽  
Minimum Bayes Risk ◽  
Confusion Network ◽  
Risk Decision

Modeling Highway Lane Changing Using Bayesian Networks

2014 ◽  
Vol 505-506 ◽  
pp. 1143-1147 ◽  
Author(s):  
Jian Qun Wang ◽  
Rui Chai ◽  
Ning Cao
Keyword(s):  
Bayesian Networks ◽  
Prediction Accuracy ◽  
Bayes Risk ◽  
Trajectory Data ◽  
Lane Changing ◽  
Minimum Error ◽  
Lane Changes ◽  
Change Events ◽  
Minimum Bayes Risk ◽  
Risk Decision

Developed a lane changing assistance system that advises drivers of safe gaps for making lane changes. Minimum Bayes risk decision and the minimum error Bayes decision used by the lane changes model and the decision making based on Bayesian networks is proposed. The U.S. Highway 101 vehicle trajectory data set from the Next Generation Simulation (NGSIM) were used for model training and testing. Aim to predicted driver decisions on whether to change or not. By using this method, the minimum Bayes risk decision prediction accuracy was 66.00% for non-change events and 79.92% for change events, and the minimum error Bayes decision prediction accuracy was 73.35% for non-change events and 84.10% for change events.

scholarly journals Minimum Bayes risk combination of translation hypotheses from alternative morphological decompositions

2009 ◽  
Author(s):  
Adrià de Gispert ◽  
Sami Virpioja ◽  
Mikko Kurimo ◽  
William Byrne
Keyword(s):  
Bayes Risk ◽  
Minimum Bayes Risk
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