An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines.
Lei GuanLinbo QiaoDongsheng LiTao SunKeshi GeXicheng LuPublished in: ICDM Workshops (2018)
Keyphrases
- objective function
- support vector
- computational complexity
- search space
- computationally efficient
- learning algorithm
- optimization algorithm
- dynamic programming
- cost function
- detection algorithm
- preprocessing
- globally optimal
- linear program
- segmentation algorithm
- genetic algorithm
- model selection
- expectation maximization
- particle swarm optimization
- maximum likelihood
- simulated annealing
- markov random field
- worst case
- least squares
- knn
- np hard
- k means
- similarity measure