Generalization error of minimum weighted norm and kernel interpolation.
Weilin LiPublished in: CoRR (2020)
Keyphrases
- generalization error
- perceptron learning
- linear classifiers
- model selection
- cross validation
- active learning
- learning algorithm
- upper bound
- training set
- binary classification
- training data
- classification error
- training error
- sample size
- generalization error bounds
- supervised learning
- sample complexity
- target function
- subspace information criterion
- learning machines
- support vector
- kernel methods
- kernel function
- feature space
- reproducing kernel hilbert space
- kernel machines
- data mining
- data sets
- error rate
- artificial neural networks
- conditional expectation