On kernel-based statistical learning theory in the mean field limit.
Christian FiedlerMichael HertySebastian TrimpePublished in: NeurIPS (2023)
Keyphrases
- statistical learning theory
- support vector machine
- kernel machines
- statistical learning
- theoretical framework
- supervised classification
- learning problems
- machine learning
- kernel methods
- inductive inference
- support vector
- markov random field
- vc dimension
- active learning
- granular computing
- kernel function
- semi supervised
- feature vectors
- binary classification
- training data
- multi class
- em algorithm
- upper bound
- semi supervised learning
- unsupervised learning
- data mining