The robustness of Bayesian networks

Robustheid van Bayesiaanse netwerken

Bachelor Thesis (2021)
Author(s)

W. van Kooten (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

G. F. Nane – Mentor (TU Delft - Applied Probability)

B. van den Dries – Graduation committee member (TU Delft - Analysis)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2021 Wietse van Kooten
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Wietse van Kooten
Graduation Date
09-07-2021
Awarding Institution
Delft University of Technology
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Applying multiple structure learning algorithms like hill-climbing, incremental association and grow-shrink, to investigate their robustness, predictive capabiliy and goodness of fit on multiple discrete Bayesian networks and Gaussian Bayesian networks.

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