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
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, Mass.
MIT
2006, c2006
|
| Series: | Adaptive computation and machine learning / Adaptive computation and machine learning
|
| Subjects: | |
| Online Access: | |
| Collection: | Oxford University Press - Collection details see MPG.ReNa |
| Summary: | 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 |
|---|---|
| Physical Description: | x, 508 p. ill |
| ISBN: | 9780262255899 |