Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization.
Alexander JungAlfred O. Hero IIIAlexandru MaraSaeed JahromiAyelet HeimowitzYonina C. EldarPublished in: IEEE Trans. Signal Process. (2019)
Keyphrases
- semi supervised learning
- structured data
- semi supervised
- total variation minimization
- labeled data
- unlabeled data
- supervised learning
- information extraction
- active learning
- unsupervised learning
- learning problems
- machine learning
- network structure
- training data
- data sources
- labeled and unlabeled data
- metadata
- text categorization
- label propagation
- complex networks
- total variation
- xml documents
- reinforcement learning
- transfer learning
- learning algorithm