#
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.

NEXT Hierarchical Bayes Model