High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach.
Boxin ZhaoShengjun ZhaiY. Samuel WangMladen KolarPublished in: CoRR (2021)
Keyphrases
- structure learning
- graphical models
- high dimensional
- belief propagation
- probabilistic model
- bayesian networks
- random variables
- approximate inference
- probabilistic inference
- parameter learning
- conditional independence
- probabilistic graphical models
- conditional random fields
- markov logic networks
- markov networks
- exact inference
- variable selection
- dynamic bayesian networks
- gene regulatory networks
- belief networks
- parameter estimation
- factor graphs
- undirected graphical models
- transfer learning
- dynamic programming
- data points
- message passing