About

Discriminative models, also called conditional models, are a class of models used in machine learning for modeling the dependence of an unobserved variable y on an observed variable x.

Discriminative models, as opposed to generative models, do not allow one to generate samples from the wiki/joint distribution of x and y. However, for tasks such as classification and regression that do not require the wiki/joint distribution, discriminative models can yield superior performance.

Articles Related

List

• Machine Learning - Logistic regression (Classification Algorithm)
• Statistical Learning - Simple Linear Discriminant Analysis (LDA)
• Data Mining - Support Vector Machines (SVM) algorithm
• Data Mining - (Boosting|Gradient Boosting|Boosting trees)
• Conditional random fields
• Linear regression
• Neural networks

Documentation / Reference

• wiki/Discriminative models