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
4. Two-Step Techniques
[
Slides
]
Content
General Idea
Step 1: identifying reliable negative examples
1-DNF
Non-traditional classifier
Spy
Step 2: training a classifier
Iterative SVM
Step 3: selecting a classifier
Previous video:
3. Assumptions to enable PU Learning
Next video:
5. Biased Learning