Scalable robust hypothesis tests using graphical models.
Divyanshu VatsVishal MongaUmamahesh SrinivasJosé M. F. MouraPublished in: ICASSP (2011)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- bayesian networks
- approximate inference
- hypothesis tests
- markov networks
- structure learning
- map inference
- probabilistic graphical models
- probabilistic inference
- statistical inference
- belief networks
- conditional random fields
- factor graphs
- influence diagrams
- conditional independence
- exact inference
- machine learning
- hypothesis testing
- relational data
- model selection
- dynamic programming
- chain graphs