Semi-Supervised Learning

Book Overview

A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxonomy of the field, applications, benchmark experiments, and directions for future research. In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which...

• Format: Hardcover
• Language: English
• ISBN: 0262033585
• ISBN13: 9780262033589
• Release Date: January 2006
• Publisher: MIT Press
• Length: 508 Pages
• Weight: 2.85 lbs.
• Dimensions: 1.2" x 8.4" x 10.1"
• Age Range: 18 years and up
• Grade Range: Postsecondary and higher

Customer Reviews

Collection of articles

I am working in domain of applied semi-supervised learning and i found this book to be useful. Authors are right - this field is not mature yet and there might be new methods out or on they way which would change or revolutionize the domain. However, chapters are well divided into areas and even for not very strong mathematically founded person there are ideas and concepts to grab. Advised for people working in this area to see different approaches and may be eventually to have a spark of a new idea.