3. Assumptions to enable PU Learning

Content

• Labeling mechanism assumptions
  • Selected Completely At Random (SCAR)
  • Selected At Random (SAR)
  • Probabilistic Gap
• Data (class distribution) assumptions
  • Negativity
  • Separability
  • Smoothness