Feasible Direction Decomposition Algorithms for Training Support Vector Machines.
Pavel LaskovPublished in: Mach. Learn. (2002)
Keyphrases
- decomposition methods
- training support vector machines
- decomposition method
- computational cost
- machine learning algorithms
- neural network
- relational databases
- significant improvement
- computationally efficient
- orders of magnitude
- computational efficiency
- benchmark problems
- learning algorithm
- lower bound
- np hard
- database
- optimization problems
- computational complexity
- image processing