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Introduction to Semi-Supervised Learning

by: ;
ISBN: 9781439826096 | 1439826099
Edition: 1st
Format: Hardcover
Publisher: CRC Press
Pub. Date: 5/15/2015

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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. 


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