Deep Elastic Networks with Model Selection for Multi-Task Learning.
Chanho AhnEunwoo KimSonghwai OhPublished in: CoRR (2019)
Keyphrases
- model selection
- multi task learning
- gaussian processes
- multi task
- hyperparameters
- cross validation
- gaussian process
- learning problems
- sample size
- parameter estimation
- machine learning
- feature selection
- learning tasks
- regression model
- unsupervised learning
- social networks
- high order
- mixture model
- transfer learning
- theoretical analysis
- learning models
- inductive learning
- network structure
- multi class
- pairwise
- support vector
- posterior distribution
- markov random field
- supervised learning
- learning algorithm