Data mining using genetic programming: the implications of parsimony on generalization error.
Michael J. CavarettaKumar ChellapillaPublished in: CEC (1999)
Keyphrases
- generalization error
- data mining
- cross validation
- learning algorithm
- model selection
- training set
- active learning
- upper bound
- classification error
- training error
- binary classification
- training data
- sample complexity
- sample size
- generalization error bounds
- linear classifiers
- target function
- learning machines
- supervised learning
- conditional expectation
- unbiased estimator
- subspace information criterion
- special case
- face recognition
- machine learning
- perceptron learning
- real world
- database