Bounding Generalization Error Through Bias and Capacity.
Ramya RamalingamNicolas A. Espinosa DiceMegan L. KayeGeorge D. MontañezPublished in: IJCNN (2022)
Keyphrases
- generalization error
- upper bound
- classification error
- model selection
- cross validation
- binary classification
- lower bound
- active learning
- linear classifiers
- learning algorithm
- sample size
- training data
- training error
- sample complexity
- training set
- generalization error bounds
- target function
- supervised learning
- subspace information criterion
- learning machines
- conditional expectation
- perceptron learning
- boosting algorithms
- worst case
- classification accuracy
- artificial neural networks
- machine learning
- database