Learning high-dimensional networks with nonlinear interactions by a novel tree-embedded graphical model.
Yazhuo LiuJosé Zayas-CastroPeter J. FabriShuai HuangPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- graphical models
- high dimensional
- belief propagation
- undirected graphical models
- probabilistic graphical models
- graph structure
- learning algorithm
- random variables
- probabilistic inference
- approximate inference
- relational dependency networks
- map inference
- markov networks
- stereo matching
- probabilistic model
- prior knowledge
- reinforcement learning
- bayesian networks