Finite Sample Smeariness on Spheres.
Benjamin EltznerShayan HundrieserStephan HuckemannPublished in: GSI (2021)
Keyphrases
- finite sample
- sample size
- statistical learning theory
- error bounds
- uniform convergence
- nearest neighbor
- generalization bounds
- parzen window
- generalization error
- statistical learning
- learning algorithm
- risk minimization
- kernel machines
- model selection
- support vector machine
- machine learning
- euclidean space
- supervised classification
- learning theory
- theoretical framework
- sufficient conditions
- worst case