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BAYESIAN NETWORKS IN EDUCATIONAL TESTING

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004
In this paper we discuss applications of Bayesian networks to educational testing. Namely, we deal with the diagnosis of person's skills. We show that when modeling dependence between skills we can get better diagnosis faster. We present results of experiments with basic operations that use fractions.
openaire   +4 more sources

Sensitivity analysis in Bayesian networks

1995
For systems based on Bayesian networks, evidence is used to compute posterior probabilities for some hypotheses. Sensitivity analysis is concerned with questions on how sensitive the conclusion is to the evidence provided. After the basic definitions and an example we conclude that the heart of sensitivity analysis is to compute probabilities for the ...
Jensen, F. V.   +2 more
openaire   +2 more sources

Bayesian networks and INEX

2002
We present a bayesian framework for XML document retrieval. This framework allows us to consider content only and content and structure queries. We perform the retrieval task using inference in our network. Our model can adapt to a specific corpora through parameter learning.
Piwowarski, Benjamin   +2 more
openaire   +2 more sources

Bayesian Learning for Neural Networks: An Algorithmic Survey

Artificial Intelligence Review, 2023
Alexandros Iosifidis, Martin Magris
exaly  

Probabilistic Framework to Evaluate the Resilience of Engineering Systems Using Bayesian and Dynamic Bayesian Networks

Reliability Engineering and System Safety, 2020
Omar Kammouh   +2 more
exaly  

Discrete Bayesian Network Classifiers

ACM Computing Surveys, 2014
Concha Bielza, Pedro Larranaga
exaly  

Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
Pedro Larranaga
exaly  

The Use of Bayesian Network Modelling for Maintenance Planning in a Manufacturing Industry

Reliability Engineering and System Safety, 2010
Zaili Yang, Jin Wang, I Jenkinson
exaly  

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