Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model.
Budhaditya SahaSunil GuptaDinh Q. PhungSvetha VenkateshPublished in: ICPR (2016)
Keyphrases
- graphical models
- transfer learning
- structure learning
- gaussian graphical models
- probabilistic model
- belief propagation
- learning tasks
- labeled data
- cross domain
- knowledge transfer
- conditional random fields
- random variables
- bayesian networks
- probabilistic inference
- probabilistic graphical models
- active learning
- undirected graphical models
- machine learning
- approximate inference
- factor graphs
- semi supervised learning
- text classification
- markov random field
- markov networks
- text categorization
- maximum likelihood
- collaborative filtering
- learning algorithm