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Introduction to Semi-Supervised Learning

By (author) Zenglin Xu, By (author) Irwin King





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| book description |

Including the historical background and recent advances in the field as well as theoretical perspectives and real-world applications, this book outlines a systematic framework for implementing semi-supervised learning methods. It provides a toolbox on semi-supervised learning algorithms, presenting illustrations and examples of each algorithm. The book defines and distinguishes supervised learning, unsupervised learning, semi-supervised learning, and other relevant learning tasks. It discusses important semi-supervised learning models, including generative models for semi-supervised learning, semi-supervised support vector machines, and graph-based semi-supervised learning methods.

| product details |



Normally shipped | Enquiries only
Publisher | Taylor & Francis Inc
Published date | 15 May 2015
Language |
Format | Hardback
Pages | 250
Dimensions | 235 x 156 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-4398-2609-6
Readership Age |
BISAC | business & economics / statistics


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