Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network.
Yu LiuOsvaldo SimeoneAlexander M. HaimovichWei SuPublished in: CoRR (2014)
Keyphrases
- bayesian networks
- feature extraction
- classification accuracy
- feature selection
- classification algorithm
- markov random field
- monte carlo
- machine learning
- training set
- latent dirichlet
- pattern recognition
- support vector machine
- decision trees
- image classification
- support vector machine svm
- unsupervised learning
- maximum likelihood
- probabilistic inference
- classification method
- text classification
- class labels
- training data
- graphical models
- support vector
- co occurrence
- discriminative learning
- feature vectors