When and where to transfer for Bayesian network parameter learning.
Yun ZhouTimothy M. HospedalesNorman E. FentonPublished in: Expert Syst. Appl. (2016)
Keyphrases
- parameter learning
- bayesian networks
- structure learning
- generative model
- transfer learning
- statistical learning
- bayesian network learning
- conditional random fields
- approximate inference
- maximum likelihood
- em algorithm
- probabilistic model
- graphical models
- probabilistic inference
- markov random field
- expectation maximization
- posterior probability
- information retrieval
- regression model
- upper bound
- probability distribution
- information theoretic
- pairwise
- least squares