Convergence of decomposition methods for support vector machines.
Qiaozhi ZhangDi WangYanguo WangPublished in: Neurocomputing (2018)
Keyphrases
- decomposition methods
- support vector
- working set
- number of iterations required
- learning machines
- large margin classifiers
- support vector machine
- working set selection
- decomposition method
- training support vector machines
- database theory
- constraint satisfaction problems
- hypertree decomposition
- convergence rate
- svm classifier
- kernel function
- decomposition algorithm
- feature selection
- data mining
- incomplete information
- kernel methods
- tree decomposition
- special case
- feature vectors
- learning algorithm