Finite-sample and asymptotic analysis of generalization ability with an application to penalized regression.
Ning XuJian HongTimothy C. G. FisherPublished in: CoRR (2016)
Keyphrases
- asymptotic analysis
- finite sample
- generalization ability
- generalization bounds
- model selection
- support vector
- sample size
- uniform convergence
- support vector machine
- statistical learning theory
- regression model
- learning algorithm
- ensemble learning
- support vector machine svm
- loss function
- bp neural network
- ensemble methods
- least squares
- cross validation
- generalization error
- data dependent
- nearest neighbor
- data sets
- reproducing kernel hilbert space
- machine learning
- learning rate
- sample complexity
- supervised learning