Introduction to Machine Learning

10-601B, Fall 2016
School of Computer Science
Carnegie Mellon University


Semi-Supervised Learning

Additional readings

What you should know after

  • What semi-supervised learning is - i.e., what the inputs and outputs are
  • Different types of algorithms
    • Transductive SVM
    • Co-training
    • Graph-based methods