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  • Conference proceedings
  • © 2022

KI 2022: Advances in Artificial Intelligence

45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13404)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): KI: German Conference on Artificial Intelligence (Künstliche Intelligenz)

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Conference proceedings info: KI 2022.

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  • ISBN: 978-3-031-15791-2
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Table of contents (17 papers)

  1. Front Matter

    Pages i-xxii
  2. An Implementation of Nonmonotonic Reasoning with System W

    • Christoph Beierle, Jonas Haldimann, Daniel Kollar, Kai Sauerwald, Leon Schwarzer
    Pages 1-8
  3. Leveraging Implicit Gaze-Based User Feedback for Interactive Machine Learning

    • Omair Bhatti, Michael Barz, Daniel Sonntag
    Pages 9-16
  4. The Randomness of Input Data Spaces is an A Priori Predictor for Generalization

    • Martin Briesch, Dominik Sobania, Franz Rothlauf
    Pages 17-30
  5. Enabling Supervised Machine Learning Through Data Pooling: A Case Study with Small and Medium-Sized Enterprises in the Service Industry

    • Leonhard Czarnetzki, Fabian Kainz, Fabian Lächler, Catherine Laflamme, Daniel Bachlechner
    Pages 53-59
  6. Unsupervised Alignment of Distributional Word Embeddings

    • Aïssatou Diallo, Johannes Fürnkranz
    Pages 60-74
  7. NeuralPDE: Modelling Dynamical Systems from Data

    • Andrzej Dulny, Andreas Hotho, Anna Krause
    Pages 75-89
  8. Deep Neural Networks for Geometric Shape Deformation

    • Aida Farahani, Julien Vitay, Fred H. Hamker
    Pages 90-95
  9. Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling

    • Jan David Hüwel, Florian Haselbeck, Dominik G. Grimm, Christian Beecks
    Pages 96-114Open Access
  10. Health and Habit: An Agent-based Approach

    • Veronika Kurchyna, Stephanie Rodermund, Jan Ole Berndt, Heike Spaderna, Ingo J. Timm
    Pages 131-145
  11. Knowledge Graph Embeddings with Ontologies: Reification for Representing Arbitrary Relations

    • Mena Leemhuis, Özgür L. Özçep, Diedrich Wolter
    Pages 146-159
  12. Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning

    • Christian Löwens, Inaam Ashraf, Alexander Gembus, Genesis Cuizon, Jonas K. Falkner, Lars Schmidt-Thieme
    Pages 160-172
  13. HanKA: Enriched Knowledge Used by an Adaptive Cooking Assistant

    • Nils Neumann, Sven Wachsmuth
    Pages 173-186
  14. PEBAM: A Profile-Based Evaluation Method for Bias Assessment on Mixed Datasets

    • Mieke Wilms, Giovanni Sileno, Hinda Haned
    Pages 209-223
  15. Back Matter

    Pages 225-225

Other Volumes

  1. KI 2022: Advances in Artificial Intelligence

    45th German Conference on AI, Trier, Germany, September 19–23, 2022, Proceedings

About this book

Chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Keywords

  • artificial intelligence
  • computer hardware
  • computer networks
  • computer vision
  • data mining
  • databases
  • formal languages
  • formal logic
  • graph theory
  • Human-Computer Interaction (HCI)
  • image processing
  • knowledge-based system
  • machine learning
  • neural networks
  • semantics
  • signal processing
  • theoretical computer science

Editors and Affiliations

  • University of Trier, Trier, Germany

    Ralph Bergmann, Lukas Malburg, Stephanie C. Rodermund, Ingo J. Timm

Bibliographic Information

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-3-031-15791-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 69.99
Price excludes VAT (USA)