Self-Taught Learning

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(Learning features)
(Learning features)
Line 73: Line 73:
\}</math> (if we use the replacement representation, and use <math>\textstyle a_l^{(i)}</math> to represent the  
\}</math> (if we use the replacement representation, and use <math>\textstyle a_l^{(i)}</math> to represent the  
<math>\textstyle i</math>-th training example), or <math>\textstyle \{
<math>\textstyle i</math>-th training example), or <math>\textstyle \{
-
((x_l^{(1)}, a_l^{(1)}), y^{(1)}), ((x_l^{(2)}, a_l^{(1)}), y^{(2)}), \ldots
+
((x_l^{(1)}, a_l^{(1)}), y^{(1)}), ((x_l^{(2)}, a_l^{(1)}), y^{(2)}), \ldots,
((x_l^{(m_l)}, a_l^{(1)}), y^{(m_l)}) \}</math> (if we use the concatenated
((x_l^{(m_l)}, a_l^{(1)}), y^{(m_l)}) \}</math> (if we use the concatenated
representation).  In practice, the concatenated representation often works
representation).  In practice, the concatenated representation often works

Revision as of 23:29, 10 May 2011

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