Analyses on Generalization Error of Ensemble Kernel Regressors.
Akira TanakaIchigaku TakigawaHideyuki ImaiMineichi KudoPublished in: S+SSPR (2014)
Keyphrases
- generalization error
- perceptron learning
- ensemble members
- regression problems
- cross validation
- linear classifiers
- training set
- training data
- learning algorithm
- learning machines
- model selection
- active learning
- support vector
- binary classification
- classification error
- upper bound
- base learners
- training error
- supervised learning
- generalization error bounds
- kernel machines
- sample complexity
- target function
- sample size
- kernel function
- data sets
- hyperparameters
- ensemble methods
- feature space
- neural network
- ensemble learning
- input space
- kernel methods
- feature selection
- weak classifiers
- base classifiers
- support vector machine
- random forests
- boosting algorithms
- learning scheme
- query by committee