In machine learning,Generative ModelsIt can be used to directly model data, or it can be used to establish conditional probability distributions between variables. The conditional probability distributions can be based on the generative model of Bayes' theorem.

Generative models are suitable for unsupervised tasks, such as classification and clustering. Typical generative models include the following:

• Gaussian Mixture Models and Other Mixture Models
• Hidden Markov Model
• Randomized Context-Free Grammar
• Naive Bayes Classifier
• AODE Classifier
• Latent Dirichlet Allocation Model
• Restricted Boltzmann Machine