SpringerBriefs in Computer Science

Boosted Statistical Relational Learners

From Benchmarks to Data-Driven Medicine

Authors: Natarajan, S., Kersting, K., Khot, T., Shavlik, J.

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eBook $39.99
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  • ISBN 978-3-319-13644-8
  • Digitally watermarked, DRM-free
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Softcover $54.99
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  • ISBN 978-3-319-13643-1
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About this book

This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods. These methods combine the expressiveness of first-order logic and the ability of probability theory to handle uncertainty. It provides an overview of the methods and the key assumptions that allow for adaptation to different models and real world applications. The models are highly attractive due to their compactness and comprehensibility but learning their structure is computationally intensive. To combat this problem, the authors review the use of functional gradients for boosting the structure and the parameters of statistical relational models. The algorithms have been applied successfully in several SRL settings and have been adapted to several real problems from Information extraction in text to medical problems. Including both context and well-tested applications, Boosting Statistical Relational Learning from Benchmarks to Data-Driven Medicine is designed for researchers and professionals in machine learning and data mining. Computer engineers or students interested in statistics, data management, or health informatics will also find this brief a valuable resource.

Table of contents (6 chapters)

  • Introduction

    Natarajan, Sriraam (et al.)

    Pages 1-3

  • Statistical Relational Learning

    Natarajan, Sriraam (et al.)

    Pages 5-17

  • Boosting (Bi-)Directed Relational Models

    Natarajan, Sriraam (et al.)

    Pages 19-26

  • Boosting Undirected Relational Models

    Natarajan, Sriraam (et al.)

    Pages 27-38

  • Boosting in the Presence of Missing Data

    Natarajan, Sriraam (et al.)

    Pages 39-48

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-13644-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-13643-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Boosted Statistical Relational Learners
Book Subtitle
From Benchmarks to Data-Driven Medicine
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-13644-8
DOI
10.1007/978-3-319-13644-8
Softcover ISBN
978-3-319-13643-1
Series ISSN
2191-5768
Edition Number
1
Number of Pages
VIII, 74
Number of Illustrations and Tables
25 b/w illustrations
Topics