Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction.
Wenchong HeZhe JiangPublished in: IEEE Trans. Knowl. Data Eng. (2022)
Keyphrases
- semi supervised learning
- structured prediction
- em algorithm
- expectation maximization
- markov networks
- maximum likelihood
- maximum margin
- semi supervised
- unsupervised learning
- unlabeled data
- conditional random fields
- mixture model
- generative model
- hidden variables
- supervised learning
- parameter estimation
- labeled data
- latent variables
- hyperparameters
- machine learning
- probabilistic model
- discriminative learning
- approximate inference
- training data
- maximum a posteriori
- probability density function
- convex optimization
- incomplete data
- multiple kernel learning
- active learning
- graphical models
- transfer learning
- gaussian process
- feature selection
- clustering algorithm
- support vector
- feature vectors
- belief networks
- support vector machine
- bayesian framework
- information extraction
- higher order