An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines.
Lei GuanLinbo QiaoDongsheng LiTao SunKe-shi GeXicheng LuPublished in: CoRR (2018)
Keyphrases
- learning algorithm
- objective function
- optimal solution
- support vector
- k means
- computationally efficient
- expectation maximization
- computational complexity
- cross validation
- cost function
- linear programming
- dynamic programming
- global optimization
- detection algorithm
- neural network
- np hard
- preprocessing
- worst case
- probabilistic model
- optimization algorithm
- search space
- convex hull
- quadratic optimization problems