Semi-supervised Learning in Network-Structured Data via Total Variation Minimization.
Alexander JungAlfred O. Hero IIIAlexandru MaraSaeed JahromiAyelet HeimowitzYonina C. EldarPublished in: CoRR (2019)
Keyphrases
- semi supervised learning
- structured data
- total variation minimization
- semi supervised
- unlabeled data
- labeled data
- information extraction
- supervised learning
- unsupervised learning
- xml documents
- label propagation
- data sources
- network structure
- machine learning
- training data
- text categorization
- learning problems
- complex networks
- total variation
- active learning
- transfer learning
- metadata
- noisy images
- labeled and unlabeled data
- support vector machine
- link prediction
- data sets