Introduction to Semi-Supervised Learning
Why bother?
Because people want better performance for free.
the traditional view
unlabeled data is cheap
labeled data can be hard to get
I
human annotation is boring
I
labels may require experts
I
labels may require special devices
I
your graduate student is on vacation
Xiaojin Zhu (Univ. Wisc onsin, Madison) Semi-Supervised Learning Tutorial ICML 2007 5 / 135
