Graph-Driven Generative Models for Heterogeneous Multi-Task Learning.
Wenlin WangHongteng XuZhe GanBai LiGuoyin WangLiqun ChenQian YangWenqi WangLawrence CarinPublished in: CoRR (2019)
Keyphrases
- generative model
- multi task learning
- multi task
- learning tasks
- probabilistic model
- mixture model
- gaussian processes
- bayesian framework
- learning problems
- high order
- theoretical analysis
- transfer learning
- learning models
- em algorithm
- prior knowledge
- latent dirichlet allocation
- conditional random fields
- expectation maximization
- topic models
- higher order
- graphical models
- multi class
- support vector
- learning algorithm
- data mining
- inductive learning
- machine learning