A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks.
Hongwei ZhangFengzhan TianYuchang LuPublished in: IDA (2001)
Keyphrases
- multiply sectioned bayesian networks
- approximate inference
- learning algorithm
- factor graphs
- k means
- machine learning
- bayesian networks
- computational complexity
- np hard
- dynamic programming
- expectation maximization
- em algorithm
- closed form
- distributed systems
- image segmentation
- probabilistic graphical models
- variational methods
- image sequences
- probabilistic inference
- bayesian framework
- higher order
- semi supervised
- probabilistic model
- active learning
- similarity measure
- support vector