Gaussian Graphical Model Selection for Huge Data via Minipatch Learning.
Tianyi YaoMinjie WangGenevera I. AllenPublished in: CoRR (2021)
Keyphrases
- graphical models
- learning algorithm
- belief propagation
- bayesian networks
- probabilistic graphical models
- reinforcement learning
- huge data
- prior knowledge
- structure learning
- relational dependency networks
- probabilistic inference
- random variables
- probabilistic model
- markov networks
- conditional independence
- graph cuts
- data processing
- undirected graphical models
- machine learning