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Personal profile

Ancillary activities

  • Centrum Wiskunde & Informatica (CWI) | Amsterdam | Researcher | 2018-10-01 - present

Ancillary activities are updated daily

Fingerprint Dive into the research topics where Joost Berkhout is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Markov processes Engineering & Materials Science
Markov chain Mathematics
Jackson Networks Mathematics
Projector Mathematics
Power Method Mathematics
Simulation Optimization Mathematics
Stopping Rule Mathematics
Transient State Mathematics

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Research Output 2014 2019

  • 10 Article
  • 2 Conference contribution
  • 2 Working paper
  • 1 PhD Thesis - Research VU, graduation VU

Analysis of Markov influence graphs

Berkhout, J. & Heidergott, B. F., 1 Jan 2019, In : Operations Research. 67, 3, p. 892-904 13 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Markov processes
Decomposition
Cluster analysis
World Wide Web
Algebra

Robustness analysis of generalized Jackson network

Berkhout, J., Heidergott, B., Sommer, J. & Daduna, H., 1 Jan 2019, In : Computational Management Science.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Risk analysis
Large scale systems
Robustness analysis
Queuing networks
Model risk

The Jump Start Power Method: A New Approach for Computing the Ergodic Projector of a Finite Markov Chain

Berkhout, J. & Heidergott, B. F., Mar 2019, In : Journal of Scientific Computing. 78, 3, p. 1691-1723

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Power Method
Projector
Markov processes
Markov chain
Numerical methods

Efficient Updating of Node Importance in Dynamic Real-Life Networks

Berkhout, J. & Heidergott, B. F., Jul 2018, In : IFAC-PapersOnLine. 51, 7, p. 64-69 6 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Internet

Evaluating layer-wise relevance propagation explainability maps for artificial neural networks

Ranguelova, E., Pauwels, E. J. & Berkhout, J., 24 Dec 2018, Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. Institute of Electrical and Electronics Engineers Inc., p. 377-378 2 p. 8588726. (Proceedings - IEEE 14th International Conference on eScience, e-Science 2018).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

artificial neural network
Artificial Neural Network
Classifiers
Propagation
Neural networks