Discriminative and Generative models
Discriminative models.
Discriminative models directly map inputs to outputs using conditional distribution or prediction function.
- Logistic regression/maximum entropy classifiers
- Linear discriminant analysis
- Support vector machines
- Boosting
- Conditional random fields
- Linear regression
- Neural networks
Generative models.
Generative model assume a common distribution that govern by parameters and find parameters values that best fit the training data.
- Mixture model
- Hidden Markov model
- Naive Bayes
- AODE
- Latent Dirichlet allocation
- Restricted Boltzmann Machine