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.