On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning.
Rie JohnsonTong ZhangPublished in: J. Mach. Learn. Res. (2007)
Keyphrases
- semi supervised learning
- graph laplacian
- semi supervised classification
- graph based semi supervised learning
- label propagation
- semi supervised
- graph construction
- unlabeled data
- labeled data
- semi supervised learning setting
- supervised learning
- active learning
- machine learning
- manifold regularization
- weighted graph
- domain adaptation
- unsupervised learning
- training data
- labeled and unlabeled data
- transfer learning
- co training
- spectral clustering
- random walk
- graph structure
- semi supervised learning methods
- manifold structure
- multi view learning
- sparse representation
- training examples
- multi view
- text classification
- prior knowledge
- semi supervised learning algorithms
- pairwise
- bayesian networks
- learning algorithm