A multi-task learning formulation for predicting disease progression.
Jiayu ZhouLei YuanJun LiuJieping YePublished in: KDD (2011)
Keyphrases
- multi task learning
- disease progression
- multi task
- gaussian processes
- learning tasks
- cross sectional
- transfer learning
- prostate cancer
- learning problems
- magnetic resonance images
- breast cancer
- clinical trials
- theoretical analysis
- high order
- learning algorithm
- mathematical modeling
- data mining
- blood vessels
- metric learning
- inductive learning
- gaussian process
- learning models
- machine learning algorithms
- support vector
- reinforcement learning
- neural network