Learning graphical models with hubs.
Kean Ming TanPalma LondonKarthik MohanSu-In LeeMaryam FazelDaniela M. WittenPublished in: J. Mach. Learn. Res. (2014)
Keyphrases
- graphical models
- random variables
- structural learning
- probabilistic model
- markov logic networks
- probabilistic graphical models
- markov networks
- belief propagation
- learning problems
- bayesian networks
- parameter learning
- conditional random fields
- probabilistic inference
- approximate inference
- structure learning
- prior knowledge
- statistical inference
- objective function
- undirected graphical models
- learning algorithm
- graph structure
- statistical learning
- reinforcement learning
- relational models