May 2018
Intermediate to advanced
576 pages
14h 42m
English
Content preview from Mastering Machine Learning Algorithms
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Semi-supervised scenario
A typical semi-supervised scenario is not very different from a supervised one. Let's suppose we have a data generating process, pdata:
However, contrary to a supervised approach, we have only a limited number N of samples drawn from pdata and provided with a label, as follows:
Instead, we have a larger amount (M) of unlabeled samples drawn from the marginal distribution p(x):
In general, there are no restrictions on ...
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