Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression.
Lei ZhangXin ZhouZhiwei ZengYiming CaoYonghui XuMingliang WangXingyu WuYong LiuLizhen CuiZhiqi ShenPublished in: ICDE (2023)
Keyphrases
- structure learning
- quantile regression
- graphical models
- bayesian networks
- prediction intervals
- conditional independence
- parameter learning
- least squares
- parameter estimation
- cross validated
- transfer learning
- bayesian network classifiers
- directed acyclic graph
- regression model
- scoring function
- markov networks
- data sets
- collaborative filtering
- network structure
- text categorization
- probability distribution
- higher order
- conditional random fields
- directed graph
- sample size
- random variables
- decision trees