Discriminative model

Discriminative model

Discriminative models are a class of models used in machine learning for modeling the dependence of an unobserved variable y on an observed variable x. Within a statistical framework, this is done by modeling the conditional probability distribution P(y|x), which can be used for predicting y from x.

Discriminative models differ from generative models in that they do not allow one to generate samples from the joint distribution of x and y.

Examples of discriminative models used in machine learning include:

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