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Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals.
Jun Lu
Jinliang Ding
Changxin Liu
Tianyou Chai
Published in:
IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
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hierarchical bayesian
prediction intervals
regression model
bayesian inference
travel time
gibbs sampling
confidence level
high dimensional
variational inference
least squares
reinforcement learning
maximum likelihood
mixture model
monte carlo
road network