PU Learning Tutorial
1. PU Learning and its sources
2. PU Learning definitions
3. Assumptions to enable PU Learning
4. Two-Step Techniques
5. Biased Learning
6. Incorporation of the labeling mechanism
1. PU Learning and its sources
[
Slides
]
Content
What is PU Learning?
10 Sources of PU data
Automatic diagnosis
Positive examples are easier to obtain
Indirect labels
Case-Control
Negative-class datashift
Under-reporting
One-class classification
Inlier-based outlier detection
Knowledge base completion
Identification
Next video:
2. PU Learning definitions