Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes.
François PetitjeanWray L. BuntineGeoffrey I. WebbNayyar Abbas ZaidiPublished in: Mach. Learn. (2018)
Keyphrases
- parameter estimation
- bayesian network classifiers
- structure learning
- hierarchical dirichlet processes
- maximum likelihood
- least squares
- parameter learning
- model selection
- em algorithm
- markov random field
- expectation maximization
- bayesian networks
- discriminative learning
- approximate inference
- maximum likelihood estimation
- generative model
- higher order
- naive bayes
- cross validation
- feature selection