Exploration of Dependencies among Sections in a Supermarket Using a Tree-Structured Undirected Graphical Model.
Keiji TakaiPublished in: ICDM Workshops (2012)
Keyphrases
- undirected graphical models
- graphical models
- conditional random fields
- probabilistic graphical models
- probabilistic model
- partition function
- gene regulatory networks
- markov random field
- tree structure
- approximate inference
- exact inference
- markov networks
- graph structure
- factor graphs
- structure learning
- bayesian networks
- belief propagation
- random variables
- hidden variables
- random fields
- probabilistic inference
- high dimensional
- posterior distribution
- structured prediction
- model selection
- hidden markov models