Large scale analysis of generalization error in learning using margin based classification methods.
Hanwen HuangQinglong YangPublished in: CoRR (2020)
Keyphrases
- generalization error
- cross validation
- supervised learning
- discriminative learning
- learning algorithm
- generalization error bounds
- learning process
- machine learning methods
- model selection
- active learning
- benchmark datasets
- decision trees
- machine learning
- upper bound
- reinforcement learning
- feature selection
- learning tasks
- linear classifiers
- training process
- feature subset
- classification accuracy
- training data
- kernel learning
- machine learning algorithms
- boosting algorithms
- query by committee
- binary classification
- learning problems
- classification error
- feature extraction
- sample size
- loss function
- neural network
- feature vectors
- support vector machine