Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes.
François PetitjeanWray L. BuntineGeoffrey I. WebbNayyar Abbas ZaidiPublished in: CoRR (2017)
Keyphrases
- parameter estimation
- bayesian network classifiers
- structure learning
- hierarchical dirichlet processes
- maximum likelihood
- least squares
- parameter learning
- em algorithm
- markov random field
- model selection
- bayesian networks
- approximate inference
- expectation maximization
- naive bayes
- maximum likelihood estimation
- discriminative learning
- knn
- image processing
- generative model
- probabilistic model
- pairwise