On the Rates of Convergence From Surrogate Risk Minimizers to the Bayes Optimal Classifier.
Jingwei ZhangTongliang LiuDacheng TaoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- rates of convergence
- empirical risk
- loss function
- risk minimization
- decision function
- ridge regression
- support vector
- fixed number
- sufficient conditions
- majority vote
- uniform convergence
- decision trees
- prediction error
- regression function
- decision boundary
- support vector machine
- finite dimensional
- multi class
- convex optimization problems
- expectation maximization
- feature vectors
- data sets