A Relationship Between Generalization Error and Training Samples in Kernel Regressors.
Akira TanakaHideyuki ImaiMineichi KudoMasaaki MiyakoshiPublished in: ICPR (2010)
Keyphrases
- training samples
- generalization error
- training set
- perceptron learning
- learning algorithm
- training data
- supervised learning
- linear classifiers
- kernel matrix
- feature space
- decision function
- classification error
- binary classification
- active learning
- model selection
- upper bound
- cross validation
- training error
- hyperplane
- test sample
- input space
- sample complexity
- support vector
- kernel function
- training examples
- sample size
- data sets
- high dimensional
- test data
- kernel methods
- classification algorithm
- base classifiers
- face images
- semi supervised
- classification accuracy
- support vectors
- high resolution
- decision trees
- computer vision
- machine learning