Wim Wiegerinck and Tom Heskes.
Belief networks/Bayesian networks.
In J. Meij, editor, Dealing with the data flow. Mining data, text and multimedia,
pages 660-665.
STT Netherlands Study Centre for Technology Trends,
The Hague, The Netherlands,
2002.
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AUTHOR = {Wim Wiegerinck and Tom Heskes},
YEAR = 2002,
TITLE = {Belief networks/{B}ayesian networks},
BOOKTITLE = {Dealing with the data flow. Mining data, text and multimedia},
EDITOR = {Meij, J.},
PUBLISHER = {STT Netherlands Study Centre for Technology Trends},
ADDRESS = {The Hague, The Netherlands},
PAGES = {660-665},
PDF = {http://www.snn.ru.nl/reports/Wiegerinck_Heskes_STT01.pdf}
}
Bart Bakker and Tom Heskes.
Clustering ensembles of neural network models.
Neural Networks,
16:261-269,
2002.
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AUTHOR = {Bart Bakker and Tom Heskes},
YEAR = 2002,
TITLE = {Clustering ensembles of neural network models},
JOURNAL = {Neural Networks},
VOLUME = 16,
PAGES = {261-269},
URL = {http://dx.doi.org/10.1016/S0893-6080(02)00187-9},
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Tom Heskes,
Bart Bakker,
and Bert Kappen.
Approximate Algorithms for Neural-Bayesian Approaches.
Theoretical Computer Science,
287:219-238,
2002.
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AUTHOR = {Tom Heskes and Bart Bakker and Bert Kappen},
YEAR = 2002,
TITLE = {Approximate Algorithms for Neural-{B}ayesian Approaches},
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VOLUME = {287},
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}
Bart Bakker and Tom Heskes.
Model Clustering for Neural Network Ensembles.
In ICANN '02: Proceedings of the International Conference on Artificial Neural Networks,
volume 2415 of Lecture Notes in Computer Science,
London, UK,
pages 383-388,
2002.
Springer-Verlag.
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AUTHOR = {Bart Bakker and Tom Heskes},
TITLE = {Model Clustering for Neural Network Ensembles},
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Tom Heskes and Onno Zoeter.
Expectation propagation for approximate inference in dynamic Bayesian networks.
In A. Darwiche and N. Friedman, editors,
Uncertainty in Artificial Intelligence: Proceedings of the Eighteenth Conference (UAI-2002),
San Francisco, CA,
pages 216-233,
2002.
Morgan Kaufmann Publishers.
Note: A more detailed technical report can be found here.
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PAGES = {216-233},
PUBLISHER = {Morgan Kaufmann Publishers},
ADDRESS = {San Francisco, CA},
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Tom Heskes and Onno Zoeter.
Visualization of process data with dynamic Bayesian networks.
In Proceedings of EUNITE 2002,
2002.
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TITLE = {Visualization of process data with dynamic {B}ayesian networks},
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Wim Wiegerinck and Tom Heskes.
IPF for discrete chain factor graphs.
In Proceedings of the 18th Annual Conference on Uncertainty in Artificial Intelligence (UAI-02),
San Francisco, CA,
pages 560-56,
2002.
Morgan Kaufmann.
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Tom Heskes.
De voorspelbaarheid van papierstijfheid.
Technical report,
SMART Research, Nijmegen,
2002.
Study for Kappa Packaging (in Dutch).
@TECHREPORT{kappa2002,
AUTHOR = {Tom Heskes},
TITLE = {De voorspelbaarheid van papierstijfheid},
NOTE = {Study for Kappa Packaging (in Dutch)},
YEAR = 2002,
INSTITUTION = {SMART Research, Nijmegen}
}
Alexander Ypma,
Jan-Joost Spanjers,
and Tom Heskes.
Prediction of supermarket product sales with multitask neural networks.
Technical report,
SNN, Nijmegen,
2002.
Study for Albert Heijn.
@TECHREPORT{appie2002,
AUTHOR = {Alexander Ypma and Jan-Joost Spanjers and Tom Heskes},
TITLE = {Prediction of supermarket product sales with multitask neural networks},
NOTE = {Study for Albert Heijn},
YEAR = 2002,
INSTITUTION = {SNN, Nijmegen}
}