Manifold regularization in structured output space for semi-supervised structured output prediction.
Fei JiangLili JiaXiaobao ShengRiley LeMieuxPublished in: Neural Comput. Appl. (2016)
Keyphrases
- manifold regularization
- structured output
- semi supervised
- semi supervised learning
- maximum margin
- discriminative learning
- structured prediction
- latent variables
- unlabeled data
- multiclass classification
- conditional random fields
- labeled data
- pairwise constraints
- pairwise
- generative model
- unsupervised learning
- dimension reduction
- support vector machine
- supervised learning
- active learning
- multi task learning
- multi class
- training data
- metric learning
- learning problems
- markov networks
- principal component analysis
- svm classifier
- support vector
- machine learning
- feature extraction