Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime.
Hugo CuiBruno LoureiroFlorent KrzakalaLenka ZdeborováPublished in: CoRR (2021)
Keyphrases
- generalization error
- kernel regression
- noisy data
- model selection
- regression model
- cross validation
- learning algorithm
- active learning
- training data
- upper bound
- nadaraya watson
- training set
- genetic algorithm
- sample size
- regression methods
- evolutionary algorithm
- training error
- supervised learning
- genetic programming
- parameter optimization
- differential evolution
- genetic algorithm ga
- missing data
- linear regression
- decision trees
- data sets
- support vector regression
- lower bound
- pairwise
- machine learning
- simulated annealing