A Characterization of Mean Squared Error for Estimator with Bagging.
Martin MihelichCharles DogninYan ShuMichael BlotPublished in: AISTATS (2020)
Keyphrases
- variance reduction
- ensemble learning
- decision trees
- ensemble methods
- least squares
- maximum likelihood
- training set
- machine learning
- random forest
- meta learning
- voting methods
- imbalanced data
- random forests
- learning machines
- correlation coefficient
- ensemble classification
- distortion measure
- maximum a posteriori
- randomized trees
- variance estimator
- prediction error
- base classifiers
- importance sampling
- quantization error
- majority voting
- individual classifiers
- image reconstruction
- decision tree ensembles