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© 2020

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II

  • Ulf Brefeld
  • Elisa Fromont
  • Andreas Hotho
  • Arno Knobbe
  • Marloes Maathuis
  • Céline Robardet
Conference proceedings ECML PKDD 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11907)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11907)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Supervised Learning

    1. Front Matter
      Pages 1-1
    2. Mike Izbicki, Evangelos E. Papalexakis, Vassilis J. Tsotras
      Pages 3-19
    3. Hung Nguyen, Xuejian Wang, Leman Akoglu
      Pages 20-36
    4. Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
      Pages 37-54
    5. Theodore James Thibault Heiser, Mari-Liis Allikivi, Meelis Kull
      Pages 55-70
  3. Multi-label Learning

    1. Front Matter
      Pages 121-121
    2. Kaiwei Sun, Zijian Min, Jin Wang
      Pages 123-137
    3. Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
      Pages 138-163
    4. Laurence A. F. Park, Yi Guo, Jesse Read
      Pages 164-179
  4. Large-Scale Learning

    1. Front Matter
      Pages 195-195
    2. Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
      Pages 213-228
    3. Robin Vogel, Aurélien Bellet, Stephan Clémençon, Ons Jelassi, Guillaume Papa
      Pages 229-245
  5. Deep Learning

    1. Front Matter
      Pages 247-247
    2. Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson
      Pages 249-265

Other volumes

  1. International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
  2. International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
  3. European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
  4. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
  5. European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

About these proceedings

Introduction

Chapter "Incorporating Dependencies in Spectral Kernels for Gaussian Processes" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Keywords

artificial intelligence bayesian networks classification classification methods computer networks computer systems correlation analysis data mining data security databases image processing image reconstruction information retrieval machine learning neural networks semantics sensors signal processing wireless telecommunication systems

Editors and affiliations

  1. 1.Leuphana UniversityLüneburgGermany
  2. 2.IRISA/InriaRennesFrance
  3. 3.University of WürzburgWürzburgGermany
  4. 4.Leiden UniversityLeidenThe Netherlands
  5. 5.ETH ZurichZurichSwitzerland
  6. 6.Institut National des Sciences AppliquéesVilleurbanneFrance

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