Bounds for the VC Dimension of 1NN Prototype Sets.
Iain A. D. GunnLudmila I. KunchevaPublished in: CoRR (2019)
Keyphrases
- vc dimension
- upper bound
- covering numbers
- vapnik chervonenkis
- generalization bounds
- sample complexity
- lower bound
- sample size
- empirical risk minimization
- concept classes
- distribution free
- neural network
- statistical learning theory
- inductive inference
- vapnik chervonenkis dimension
- nearest neighbor
- learning machines
- worst case
- knn
- concept class
- pac learning
- compression scheme
- euclidean space
- uniform convergence
- function classes
- theoretical analysis
- generalization error
- upper and lower bounds
- machine learning