Deep Elastic Networks With Model Selection for Multi-Task Learning.
Chanho AhnEunwoo KimSonghwai OhPublished in: ICCV (2019)
Keyphrases
- model selection
- multi task learning
- multi task
- gaussian processes
- cross validation
- hyperparameters
- gaussian process
- learning tasks
- regression model
- parameter estimation
- theoretical analysis
- sample size
- learning problems
- machine learning
- variable selection
- feature selection
- high order
- transfer learning
- mixture model
- network structure
- social networks
- inductive learning
- learning models
- unsupervised learning
- learning algorithm
- reinforcement learning
- approximate inference
- data mining