Introduction to Semi-Supervised Learning |
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| Author:
| Zhu, Xiaojin
Goldberg, Andrew |
| Series title: | Synthesis Lectures on Artificial Intelligence and Machine Learning Ser. |
| ISBN: | 978-1-59829-547-4 |
| Publication Date: | Jun 2009 |
| Publisher: | Morgan & Claypool Publishers
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| Book Format: | Paperback |
| List Price: | USD $40.00USD $40.00 |
Book Description:
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Presents some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, the authors discuss its basic mathematical formulation, and emphasize the assumptions made by each model and give counter examples when appropriate to demonstrate the limitations of the different models.
Presents some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, the authors discuss its basic mathematical formulation, and emphasize the assumptions made by each model and give counter examples when appropriate to demonstrate the limitations of the different models.