Support Vector Machines as Probabilistic Models.
Vojtech FrancAlexander ZienBernhard SchölkopfPublished in: ICML (2011)
Keyphrases
- probabilistic model
- support vector
- learning machines
- large margin classifiers
- graphical models
- language model
- conditional random fields
- support vector machine
- cross validation
- logistic regression
- probabilistic modeling
- binary classification
- hidden variables
- latent variables
- generative model
- expectation maximization
- kernel function
- feature selection
- multi class
- generalization ability
- bayesian inference
- topic models
- maximum margin
- hyperplane
- multi class classification
- classification accuracy
- social networks
- multiple kernel learning
- bayesian networks
- information extraction
- linear discriminant analysis
- kernel methods
- artificial intelligence
- loss function