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Conformal and Probabilistic Prediction with Applications

5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings

  • Alexander Gammerman
  • Zhiyuan Luo
  • Jesús Vega
  • Vladimir Vovk

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9653)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9653)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Invited Paper

    1. Front Matter
      Pages 1-1
    2. Vladimir Vapnik, Rauf Izmailov
      Pages 3-19
  3. Theory of Conformal Prediction

    1. Front Matter
      Pages 21-21
    2. Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alexander Gammerman
      Pages 23-39
    3. Vladimir Vovk, Dusko Pavlovic
      Pages 40-47
  4. Applications of Conformal Prediction

    1. Front Matter
      Pages 49-49
    2. Paolo Toccaceli, Ilia Nouretdinov, Alexander Gammerman
      Pages 51-66
    3. Raúl Moreno, Jesús Vega, Sebastián Dormido, JET Contributors
      Pages 67-74
    4. Henrik Boström, Henrik Linusson, Tuve Löfström, Ulf Johansson
      Pages 75-89
    5. Antonis Lambrou, Harris Papadopoulos
      Pages 90-104
    6. Andrea Murari, Saeed Talebzadeh, Jesús Vega, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni et al.
      Pages 105-115
    7. Shuang Zhou, Evgueni Smirnov, Gijs Schoenmakers, Ralf Peeters
      Pages 116-127
    8. Giovanni Cherubin, Ilia Nouretdinov
      Pages 128-144
  5. Machine Learning

    1. Front Matter
      Pages 145-145
    2. Evgeny Burnaev, Ivan Panin, Bruno Sudret
      Pages 165-184
    3. A. V. Moldavskaya, V. M. Ruvinskaya, E. L. Berkovich
      Pages 196-207
    4. Alexander Kuleshov, Alexander Bernstein
      Pages 208-228
  6. Back Matter
    Pages 229-229

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2016, held in Madrid, Spain, in April 2016.

The 14 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 23 submissions and cover topics on theory of conformal prediction; applications of conformal prediction; and machine learning.

Keywords

big data applications data mining machine learning pattern recognition universal prediction active learning algorithmic information theory classification confidence measures geodesic distance hidden markov models inference methods knowledge representation malware measures of confidence prediction systems sequential pattern mining similarity control support vector machines visualization

Editors and affiliations

  • Alexander Gammerman
    • 1
  • Zhiyuan Luo
    • 2
  • Jesús Vega
    • 3
  • Vladimir Vovk
    • 4
  1. 1.University of LondonEghamUnited Kingdom
  2. 2.University of LondonEghamUnited Kingdom
  3. 3.CIEMATMadridSpain
  4. 4.University of LondonEghamUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-33395-3
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-33394-6
  • Online ISBN 978-3-319-33395-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site