Semi-supervised learning /

A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research.

Bibliographic Details

Other Authors:	Chapelle, Olivier, Schölkopf, Bernhard, Zien, Alexander
Format:	eBook
Language:	English
Published:	Cambridge, Mass. : MIT Press, ©2006.
Series:	Adaptive computation and machine learning
Subjects:	Supervised learning (Machine learning) COMPUTER SCIENCE/Machine Learning & Neural Networks Electronic books.
Online Access:	Connect to the full text of this electronic book