Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training.
Andrea MannoLaura PalagiSimone SagratellaPublished in: Comput. Optim. Appl. (2018)
Keyphrases
- decomposition methods
- training support vector machines
- training set
- working set selection
- constrained problems
- support vector
- decomposition method
- machine learning
- upper bound
- data sets
- kernel function
- working set
- database theory
- constraint satisfaction
- constraint satisfaction problems
- database management systems
- object oriented
- neural network