Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network.
Yu LiuOsvaldo SimeoneAlexander M. HaimovichWei SuPublished in: IEEE Signal Process. Lett. (2014)
Keyphrases
- bayesian networks
- pattern recognition
- decision trees
- image classification
- feature extraction
- support vector
- feature space
- training set
- feature selection
- classification accuracy
- incomplete data
- classification algorithm
- graphical models
- bayesian network classifiers
- dimension reduction
- text classification
- knowledge discovery
- model selection
- class labels
- markov random field
- supervised learning
- feature vectors