Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration.
Jianyu SuPeter A. BelingRui GuoKyungtae HanPublished in: ITSC (2020)
Keyphrases
- probabilistic modeling
- probabilistic model
- bayesian inference
- log linear
- directed graph
- bayesian networks
- small world
- network structure
- graph theory
- social networks
- random walk
- image processing
- graph structures
- weighted graph
- learning algorithm
- pairwise
- machine learning
- graph structure
- generative model
- parameter learning
- graphical models
- least squares
- graph layout