On kernel-based statistical learning in the mean field limit.
Christian FiedlerMichael HertySebastian TrimpePublished in: CoRR (2023)
Keyphrases
- statistical learning
- information theory
- multi view face detection
- supervised learning
- statistical inference
- statistical learning theory
- model selection
- belief networks
- markov random field
- kernel methods
- semi supervised learning
- bayesian inference
- data sets
- em algorithm
- support vector
- text mining
- support vector machine
- decision trees
- multiple kernel learning
- kernel machines
- learning algorithm
- data mining