Overview of Optimization Algorithms for Large-scale Support Vector Machines.
Xuchan JuZhenghao YanTianhe WangPublished in: ICDM (Workshops) (2021)
Keyphrases
- support vector
- optimization problems
- learning algorithm
- discrete optimization
- optimization methods
- times faster
- combinatorial optimization
- orders of magnitude
- machine learning algorithms
- optimization method
- benchmark datasets
- data sets
- feature selection
- support vector machine
- computational cost
- data structure
- hyperplane
- optimization approaches
- kernel machines
- learning machines
- evolution strategy
- generalization ability
- small scale
- theoretical analysis
- computational complexity
- feature vectors
- worst case
- computationally efficient
- optimization algorithm
- constraint satisfaction problems