Difference between revisions of "Entropy Minimization for Semi-supervised Learning"
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Minimum entropy regularization can be applied to any model of posterior distribution. | Minimum entropy regularization can be applied to any model of posterior distribution. | ||
| − | The learning set is denoted <math> L_{n} </math> | + | The learning set is denoted <math> L_{n} = {x_{i}, z_{i}}^{n}_{i=1} </math> |
Revision as of 20:04, 8 October 2010
Minimum entropy regularization can be applied to any model of posterior distribution. The learning set is denoted
