Focal Interest
Focal Interest

Bayesian network

  1. Bayesian network modelling for predicting employment tendency and major matching of vocational education students
    Study applies Bayesian network modelling to predict employment outcomes and match vocational students with suitable majors, achieving 75% predictive accuracy and reducing skill-job mismatches.
  2. Network DLN shows cost-adjusted utility gains at large scale
    Computational models of cognitive stages show that network-stage architectures outperform linear stages through estimation efficiency and explicit exposure tracking, not just parameter reduction.
  3. Framework combines Bayesian learning and discrete-event modeling for remanufacturing
    Framework combining Bayesian learning and discrete event simulation to enable remanufacturing facilities to adapt dynamically to demand and supply uncertainty while advancing sustainability.