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Learning with Partially Labeled and Interdependent Data

Learning with Partially Labeled and Interdependent Data

Paperback

DatabasesGeneral ComputersProbability & Statistics

ISBN10: 331935390X
ISBN13: 9783319353906
Publisher: Springer Nature
Published: Oct 9 2016
Pages: 106
Weight: 0.40
Height: 0.26 Width: 6.14 Depth: 9.21
Language: English

This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine learning framework through learning with interdependent data.

The book traces how the semi-supervised paradigm and the learning to rank paradigm emerged from new web applications, leading to a massive production of heterogeneous textual data. It explains how semi-supervised learning techniques are widely used, but only allow a limited analysis of the information content and thus do not meet the demands of many web-related tasks.

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