On overfitting, generalization, and randomly expanded training sets.
George N. KarystinosDimitrios A. PadosPublished in: IEEE Trans. Neural Networks Learn. Syst. (2000)
Keyphrases
- training set
- cross validation
- decision trees
- training error
- generalization error
- inductive bias
- training examples
- active learning
- supervised learning
- neural network
- test set
- classification accuracy
- evolutionary algorithm
- training data
- data sets
- upper bound
- small number
- training samples
- image sequences
- computer vision
- randomly chosen
- real world