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Generative Model and Discriminative Model

If we know Bayesian statistics , we can understand the difference of generative model and discriminative model in pattern recognition .

Discriminative Model

Discriminative model is the method to estimate "P (Y|X)" directly.

Logistic Regression Analysis is an example. We can get the value of probability of Y from X.

Generative Model

Generative model is the method to estimate "P (Y|X)" from "P (X|Y)", P (Y) and P (X).

Use of Difference

Use of Discriminative Model

Discriminative model is useful for pattern recognition because it is simpler.

Use of Generative Model

Generative model is used if P (X|Y) is wanted to use.

It is used to make data or to increase data for Artificial Intelligence.

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