Difference between revisions of "Discriminative vs. Generative"

Revision as of 20:14, 5 January 2019

Model Contrasts...

Discriminative
- learn the (hard or soft) boundary between classes
- better performance with lots of example data
- not designed to use unlabeled data

Generative
- model the distribution of individual classes
- decision boundry: where one model
- natural use of unlabeled data

@@ Line 1: / Line 1: @@
 [http://www.youtube.com/results?search_query=Generative+Discriminative+Modeling YouTube search...]
 [http://www.google.com/search?q=Generative+Discriminative+Modeling ...Google search]
+Model Contrasts...
+* Discriminative
+** learn the (hard or soft) boundary between classes
+** better performance with lots of example data
+** not designed to use unlabeled data
 * [[Generative]]
+** model the distribution of individual classes
+** decision boundry: where one model
+** natural use of unlabeled data
 <youtube>XtYMRq7f7KA</youtube>