Positive Unlabeled Learning (Synthesis Lectures on Artificial Intelligence and
58,84 €
However, in many real-world applications, well-labeled data can be difficult, expensive, or even impossible to obtain. In that scenario, identifying even a small amount of truly negative data may be impossible due to the high false negative rate of available tests.
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