Data-driven robust optimization based on kernel learning.
Chao ShangXiaolin HuangFengqi YouPublished in: Comput. Chem. Eng. (2017)
Keyphrases
- robust optimization
- kernel learning
- kernel matrix
- kernel function
- semidefinite programming
- mathematical programming
- multiple kernel learning
- support vector regression
- semi supervised
- kernel methods
- dimensionality reduction
- learning tasks
- low rank
- lot sizing
- decision theory
- nearest neighbor
- active learning
- support vector
- training data
- singular value decomposition
- data mining
- supervised learning
- least squares
- support vector machine
- machine learning