Analyses on kernel-specific generalization ability for kernel regressors with training samples.
Akira TanakaMasaaki MiyakoshiPublished in: ISSPIT (2010)
Keyphrases
- training samples
- generalization ability
- feature space
- kernel matrix
- learning algorithm
- support vector
- decision function
- kernel methods
- kernel function
- training set
- support vector machine
- supervised learning
- test sample
- training data
- number of training samples
- high dimensional
- bp neural network
- hyperplane
- genetic algorithm
- kernel machines
- support vectors
- input space
- feature selection
- ls svm
- support vector machine svm
- face images
- semi supervised
- machine learning