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The Springer Series on Challenges in Machine Learning

The NIPS '17 Competition: Building Intelligent Systems

Editors: Escalera, Sergio, Weimer, Markus (Eds.)

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  • Offers new challenges and methods on reinforcement learning and deep reinforcement learning applied to human body motion and intelligent conversational settings
  • Discusses machine learning methods for classifying clinically actionable genetic mutations 
  • Provides challenges and methods on adversarial learning applied to attacks and defenses
  • Presents deep learning applied to transfer knowledge in art
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eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-319-94042-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-3-319-94041-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book summarizes the organized competitions held during the first NIPS competition track. It provides both theory and applications of hot topics in machine learning, such as adversarial learning, conversational intelligence, and deep reinforcement learning.

Rigorous competition evaluation was based on the quality of data, problem interest and impact, promoting the design of new models, and a proper schedule and management procedure. This book contains the chapters from organizers on competition design and from top-ranked participants on their proposed solutions for the five accepted competitions: The Conversational Intelligence Challenge, Classifying Clinically Actionable Genetic Mutations, Learning to Run, Human-Computer Question Answering Competition, and Adversarial Attacks and Defenses.

Table of contents (13 chapters)

Table of contents (13 chapters)
  • Introduction to NIPS 2017 Competition Track

    Pages 1-23

    Escalera, Sergio (et al.)

  • The First Conversational Intelligence Challenge

    Pages 25-46

    Burtsev, Mikhail (et al.)

  • ConvAI Dataset of Topic-Oriented Human-to-Chatbot Dialogues

    Pages 47-57

    Logacheva, Varvara (et al.)

  • A Talker Ensemble: The University of Wroclaw’s Entry to the NIPS 2017 Conversational Intelligence Challenge

    Pages 59-77

    Chorowski, Jan (et al.)

  • Multi-view Ensemble Classification for Clinically Actionable Genetic Mutations

    Pages 79-99

    Zhang, Xi (et al.)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-319-94042-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-3-319-94041-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
The NIPS '17 Competition: Building Intelligent Systems
Editors
  • Sergio Escalera
  • Markus Weimer
Series Title
The Springer Series on Challenges in Machine Learning
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-94042-7
DOI
10.1007/978-3-319-94042-7
Hardcover ISBN
978-3-319-94041-0
Series ISSN
2520-131X
Edition Number
1
Number of Pages
X, 287
Number of Illustrations
85 b/w illustrations
Topics