Partitioning Structure Learning for Segmented Linear Regression Trees.
Xiangyu ZhengSong Xi ChenPublished in: NeurIPS (2019)
Keyphrases
- structure learning
- regression trees
- dynamic bayesian networks
- linear model
- graphical models
- bayesian networks
- linear models
- random forests
- regression model
- conditional random fields
- regression problems
- conditional independence
- parameter estimation
- network structure
- linear regression
- transfer learning
- markov networks
- probabilistic inference
- decision trees
- data sets
- sample size
- probability distribution
- probabilistic model
- maximum likelihood estimation
- upper bound