discriminative model

Discriminative models are a class of models used in machine learning for modeling the dependence of an unobserved variable on an observed variable . Within a statistical framework, this is done by modeling the conditional probability distribution , which can be used for predicting from . Discriminative models differ from generative models in that they do not allow one to generate samples from the joint distribution of and .Examples of discriminative models used in machine learning include:Linear discriminant analysisSupport vector machinesBoostingConditional random fields
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