Structural network inference from time-series data using a generative model and transfer entropy.
Zhihong ZhangGenzhou ZhangZhonghao ZhangGuo ChenYangbin ZengBeizhan WangEdwin R. HancockPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- generative model
- probabilistic model
- boltzmann machine
- em algorithm
- mixture model
- markov chain monte carlo
- bayesian framework
- prior knowledge
- dirichlet process mixture models
- conditional random fields
- posterior probability
- expectation maximization
- semi supervised
- discriminative learning
- discriminative models
- bayesian model
- bayesian networks
- genetic regulatory networks
- pitman yor process
- bayesian inference
- topic models
- text mining
- structured prediction
- text classification
- graphical models
- high dimensional