Tom Heskes,
Manfred Opper,
Wim Wiegerinck,
Ole Winther,
and Onno Zoeter.
Approximate inference techniques with expectation constraints.
Journal of Statistical Mechanics: Theory and Experiment,
2005:P11015,
2005.
@ARTICLE{2005HeskesExpectationConstraints,
AUTHOR = {Tom Heskes and Manfred Opper and Wim Wiegerinck and Ole Winther and Onno Zoeter},
TITLE = {Approximate inference techniques with expectation constraints},
JOURNAL = {Journal of Statistical Mechanics: Theory and Experiment},
YEAR = {2005},
VOLUME = {2005},
PAGES = {P11015},
URL = {http://dx.doi.org/10.1088/1742-5468/2005/11/P11015}
}
Alexander Ypma and Tom Heskes.
Novel approximations for inference in nonlinear dynamical systems using expectation propagation.
Neurocomputing,
69:85-99,
2005.
@ARTICLE{2005YpmaNonlinearDynamical,
AUTHOR = {Alexander Ypma and Tom Heskes},
TITLE = {Novel approximations for inference in nonlinear dynamical systems using expectation propagation},
JOURNAL = {Neurocomputing},
YEAR = {2005},
VOLUME = {69},
PAGES = {85-99},
URL = {http://dx.doi.org/10.1016/j.neucom.2005.02.020}
}
Onno Zoeter and Tom Heskes.
Change point problems in linear dynamical systems.
Journal of Machine Learning Research,
6:1999-2026,
2005.
@ARTICLE{zoeter2005a,
AUTHOR = {Onno Zoeter and Tom Heskes},
YEAR = 2005,
TITLE = {Change point problems in linear dynamical systems},
JOURNAL = {Journal of Machine Learning Research},
VOLUME = 6,
PAGES = {1999-2026},
PDF = {http://www.jmlr.org/papers/volume6/zoeter05a/zoeter05a.pdf}
}
Tom Heskes and Bert de Vries.
Incremental utility elicitation for adaptive personalization.
In K. Verbeeck,
K. Tuyls,
A. Nowé,
B. Manderick,
and B. Kuijpers, editors,
BNAIC 2005, Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence,
Brussels,
pages 127-134,
2005.
Koninklijke Vlaamse Academie van België voor Wetenschappen en Kunsten.
@INPROCEEDINGS{2005HeskesUtilityElicitation,
AUTHOR = {Tom Heskes and Bert de Vries},
TITLE = {Incremental utility elicitation for adaptive personalization},
BOOKTITLE = {BNAIC 2005, Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence},
YEAR = {2005},
EDITOR = {Verbeeck, K. and Tuyls, K. and Now{\'e}, A. and Manderick, B. and Kuijpers, B.},
PAGES = {127-134},
ADDRESS = {Brussels},
PUBLISHER = {Koninklijke Vlaamse Academie van Belgi{\"e} voor Wetenschappen en Kunsten},
PDF = {http://www.sps.ele.tue.nl/members/b.vries/papers/Heskes-deVries-05-Incremental-Utility-Elicitation-for-Adaptive-Personalization.pdf}
}
Rasa Jurgelenaite,
Peter Lucas,
and Tom Heskes.
Exploring the noisy threshold function in designing Bayesian networks.
In Max Bramer,
Frans Coenen,
and Tony Allen, editors,
Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence,
pages 133-146,
2005.
Springer.
@INPROCEEDINGS{jurgelenaite2005,
AUTHOR = {Jurgelenaite, Rasa and Lucas, Peter and Heskes, Tom},
TITLE = {Exploring the noisy threshold function in designing {B}ayesian networks},
BOOKTITLE = {Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence},
EDITORS = {Bramer, Max and Coenen, Frans and Allen, Tony},
PAGES = {133-146},
PDF = {http://www.cs.ru.nl/~rasa/ai2005.pdf},
PUBLISHER = {Springer},
YEAR = 2005
}
Rasa Jurgelenaite,
Peter Lucas,
and Tom Heskes.
Use of the noisy threshold function in building Bayesian networks.
In K. Verbeeck,
K. Tuyls,
A. Nowé,
B. Manderick,
and B. Kuijpers, editors,
,
Brussels,
pages 158-165,
2005.
Koninklijke Vlaamse Academie van België voor Wetenschappen en Kunsten.
@INPROCEEDINGS{jurgelenaite2005b,
AUTHOR = {Rasa Jurgelenaite and Peter Lucas and Tom Heskes},
TITLE = {Use of the noisy threshold function in building {B}ayesian networks},
PAGES = {158-165},
YEAR = {2005},
EDITOR = {Verbeeck, K. and Tuyls, K. and Now{\'e}, A. and Manderick, B. and Kuijpers, B.},
ADDRESS = {Brussels},
PUBLISHER = {Koninklijke Vlaamse Academie van Belgi{\"e} voor Wetenschappen en Kunsten}
}
Onno Zoeter and Tom Heskes.
Gaussian quadrature based expectation propagation.
In Z. Ghahramani and R. Cowell, editors,
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics,
pages 445-452,
2005.
Society for Artificial Intelligence and Statistics.
@INPROCEEDINGS{zoeter04a,
AUTHOR = {Onno Zoeter and Tom Heskes},
TITLE = {Gaussian quadrature based expectation propagation},
BOOKTITLE = {Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics},
EDITOR = {Ghahramani, Z. and Cowell, R.},
YEAR = {2005},
PAGES = {445-452},
PUBLISHER = {Society for Artificial Intelligence and Statistics},
PDF = {http://www.gatsby.ucl.ac.uk/aistats/fullpapers/140.pdf}
}