Learning with Partially Labeled and Interdependent Data

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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, leadin...

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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, leadin...

Read more
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  • Formats: pdf
  • ISBN: 9783319157269
  • Publication Date: 7 May 2015
  • Publisher: Springer International Publishing
  • Product language: English
  • Drm Setting: DRM