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Graph-Based Semi-Supervised Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Amarnag Subramanya, Partha Pratim Talukdar




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 | #2315574 in Books |  2014-11-01 | Original language:English | PDF # 1 |  9.25 x.29 x7.50l, | File type: PDF | 126 pages

||About the Author|Google Research, Mountain View, USA

While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in a variety of domains. Graph-based SSL algorithms, which bring together thes...

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