Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression.
Jun GuoNorikazu TakahashiTetsuo NishiPublished in: IJCNN (2006)
Keyphrases
- sequential minimal optimization
- support vector regression
- convergence proof
- learning algorithm
- support vector classification
- support vector
- dynamic programming
- similarity measure
- np hard
- support vector machine
- data sets
- quadratic programming
- expectation maximization
- stochastic gradient
- radial basis function
- regression model
- kernel function
- nearest neighbor
- objective function
- genetic algorithm