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Introduction to Machine Learning
10-601B, Fall 2016
School of Computer Science
Carnegie Mellon University
Semi-Supervised Learning
Additional readings
Semi-Supervised Learning
, in
Encyclopedia of Machine Learning
, Jerry Zhu
Combining Labeled and Unlabeled Data with Co-Training
, Blum & Mitchell
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