Learning graphical models for hypothesis testing and classification.
Vincent Y. F. TanSujay SanghaviJohn W. Fisher IIIAlan S. WillskyPublished in: IEEE Trans. Signal Process. (2010)
Keyphrases
- graphical models
- hypothesis testing
- learning algorithm
- belief propagation
- supervised learning
- learning process
- structural learning
- random variables
- machine learning
- text classification
- bayesian networks
- reinforcement learning
- active learning
- conditional random fields
- markov networks
- structure learning
- relational dependency networks
- factor graphs
- probabilistic graphical models
- statistical inference
- approximate inference
- hidden variables
- statistical tests
- probabilistic inference
- statistical analysis