Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction.
Wenchong HeZhe JiangPublished in: CoRR (2020)
Keyphrases
- semi supervised learning
- em algorithm
- structured prediction
- expectation maximization
- maximum likelihood
- maximum margin
- markov networks
- semi supervised
- unsupervised learning
- conditional random fields
- unlabeled data
- mixture model
- parameter estimation
- labeled data
- generative model
- approximate inference
- discriminative learning
- hidden variables
- machine learning
- active learning
- latent variables
- training data
- learning models
- convex optimization
- hyperparameters
- supervised learning
- incomplete data
- multiple kernel learning
- probability density function
- hyperplane
- maximum a posteriori
- transfer learning
- missing data
- markov random field
- probabilistic model
- belief networks
- graphical models