Michael G. Kapteyn

Nature Computational Science · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Michael G. Kapteyn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Steven L. Brunton
  2. Daphne Koller
  3. Jenný Brynjarsdóttir
  4. J. Nathan Kutz
  5. Nir Friedman
  6. Anthony OʼHagan

Papers from Michael G. Kapteyn's perspective

Ordered by how strongly the researchers Michael G. Kapteyn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
  2. Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin
  3. Reengineering Aircraft Structural Life Prediction Using a Digital Twin
  4. Data-Driven Science and Engineering
  5. Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (IEEE Access)
  6. Learning about physical parameters: the importance of model discrepancy
  7. Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements (International Conference on Conceptual Structures)
  8. A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
  9. Reinforcement Learning: An Introduction
  10. Gradient-based learning applied to document recognition

Their papers