Introduction to Semi-Supervised Learning (SSL)

given by Li He

Time
6:30 pm Sep 22, 2008
About 1h

Outline

• What is semi-supervised learning?
  • Formulations of different learning problems;
  • Do we do SSL?
  • Transduction v.s. SSL
    
• How does semi-supervised learning work?
  • Assumptions;
  • Classes of Algorithms
  • For Future Research
    
• About our seminar on semi-supervised learning.

Related Materials
Jerry Zhu's tutorial on SSL in ICML 2007; chap 1 and 25; slides.