Self-Taught Learning

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(On pre-processing the data)
(On the terminology of unsupervised feature learning)
Line 108: Line 108:
There are two common unsupervised feature learning settings, depending on what type of  
There are two common unsupervised feature learning settings, depending on what type of  
-
unlabeled data you have.  The more powerful setting is the '''self-taught learning'''
+
unlabeled data you have.  The more general and powerful setting is the '''self-taught learning'''
setting, which does not assume that your unlabeled data <math>x_u</math> has to
setting, which does not assume that your unlabeled data <math>x_u</math> has to
be drawn from the same distribution as your labeled data <math>x_l</math>.  The  
be drawn from the same distribution as your labeled data <math>x_l</math>.  The  

Revision as of 23:31, 10 May 2011

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