The convergence rate of semi-supervised regression with quadratic loss.
Baohuai ShengHancan ZhuPublished in: Appl. Math. Comput. (2018)
Keyphrases
- convergence rate
- semi supervised
- pairwise
- step size
- convergence speed
- regression model
- learning rate
- semi supervised learning
- global convergence
- mutation operator
- labeled data
- gradient method
- linear regression
- active learning
- wavelet neural network
- support vector regression
- objective function
- faster convergence rate
- primal dual
- pairwise constraints
- line search
- locally weighted
- aggregating algorithm
- support vector
- multi objective
- feature space
- computational complexity
- gravitational search algorithm