The Semi-Supervised Learning Book
Within machine learning, semi-supervised learning (SSL) approach
to classification receives increasing attention.
The book "Semi-Supervised Learning" presents the current state of research, covering the most important ideas and results in chapters contributed by experts of the field.
List of Contributing Authors
Parts of the Book for Download
Bibtex Entry for Citations
The Benchmark Data Sets
The Book at MIT Press
Index Search
The book is edited by
Olivier Chapelle,
Bernhard Schölkopf, and
Alexander Zien
(alphabetical ordering) at the
Department of Empirical Inference for Machine Learning and Perception
of the
Max Planck Institute for Biological Cybernetics.
There is
a lot of research on SSL
going on in that department.
.
Last update: Jul 28, 2006.
If you have comments or suggestions, please send us an email.