Tom Heskes.
Convexity arguments for efficient minimization of the Bethe and Kikuchi free energies.
Journal of Artificial Intelligence Research,
26:153-190,
2006.
@ARTICLE{heskes2006,
AUTHOR = {Tom Heskes},
YEAR = 2006,
TITLE = {Convexity arguments for efficient minimization of the {B}ethe and {K}ikuchi free energies},
JOURNAL = {Journal of Artificial Intelligence Research},
VOLUME = 26,
PAGES = {153-190},
PDF = {http://www.jair.org/media/1933/live-1933-2716-jair.pdf},
PS = {http://www.jair.org/media/1933/live-1933-2715-jair.ps}
}
Onno Zoeter and Tom Heskes.
Deterministic approximate inference techniques for conditionally Gaussian state space models.
Statistics and Computing,
16:279-292,
2006.
@ARTICLE{zoeter2006,
AUTHOR = {Onno Zoeter and Tom Heskes},
YEAR = 2006,
TITLE = {Deterministic approximate inference techniques for conditionally {G}aussian state space models},
JOURNAL = {Statistics and Computing},
VOLUME = 16,
PAGES = {279-292},
URL = {http://dx.doi.org/10.1007/s11222-006-8770-8}
}
Christian Hesse,
Daan Holtackers,
and Tom Heskes.
On the use of mixtures of Gaussians and mixtures of generalized exponentials for modelling and classifying biomedical signals.
In Proceedings of the 1st Annual Symposium IEEE EMBS Benelux Chapter,
Brussels, Belgium,
2006.
@INPROCEEDINGS{hesse2006,
AUTHOR = {Christian Hesse and Daan Holtackers and Tom Heskes},
TITLE = {On the use of mixtures of {G}aussians and mixtures of generalized exponentials for modelling and classifying biomedical signals},
BOOKTITLE = {Proceedings of the 1st Annual Symposium IEEE EMBS Benelux Chapter},
ADDRESS = {Brussels, Belgium},
YEAR = 2006,
PDF = {http://www.cs.ru.nl/~tomh/techreports/mixgauss.pdf}
}
Rasa Jurgelenaite and Tom Heskes.
EM Algorithm for Symmetric Causal Independence Models.
In Johannes Fürnkranz,
Tobias Scheffer,
and Myra Spiliopoulou, editors,
Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings,
volume 4212 of Lecture Notes in Computer Science,
pages 234-245,
2006.
Springer.
@INPROCEEDINGS{DBLP:conf/ecml/JurgelenaiteH06,
AUTHOR = {Rasa Jurgelenaite and Tom Heskes},
TITLE = {{EM} Algorithm for Symmetric Causal Independence Models},
YEAR = {2006},
PAGES = {234-245},
URL = {http://dx.doi.org/10.1007/11871842_25},
PDF = {http://www.cs.ru.nl/~rasa/ecml2006.pdf},
EDITOR = {Johannes F{\"u}rnkranz and Tobias Scheffer and Myra Spiliopoulou},
BOOKTITLE = {Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings},
PUBLISHER = {Springer},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {4212}
}
Rasa Jurgelenaite and Tom Heskes.
Symmetric causal independence models for classification.
In Proceedings of the Third European Workshop on Probabilistic Graphical Models,
pages 163-170,
2006.
@INPROCEEDINGS{jurgelenaite2006,
PDF = {http://www.utia.cas.cz/files/mtr/pgm06/54_paper.pdf},
AUTHOR = {Rasa Jurgelenaite and Tom Heskes},
TITLE = {Symmetric causal independence models for classification},
BOOKTITLE = {Proceedings of the Third European Workshop on Probabilistic Graphical Models},
PAGES = {163-170},
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}
Onno Zoeter,
Alexander Ypma,
and Tom Heskes.
Deterministic and stochastic Gaussian particle smoothing.
In Proceedings of the 2006 Nonlinear Statistical Signal Processing Workshop (Cambridge, UK, September 13-15, 2006),
Piscataway, NJ,
2006.
IEEE.
@INPROCEEDINGS{zoeter2006b,
AUTHOR = {Onno Zoeter and Alexander Ypma and Tom Heskes},
TITLE = {Deterministic and stochastic {G}aussian particle smoothing},
BOOKTITLE = {Proceedings of the 2006 Nonlinear Statistical Signal Processing Workshop (Cambridge, UK, September 13-15, 2006)},
PUBLISHER = {IEEE},
ADDRESS = {Piscataway, NJ},
YEAR = {2006},
PDF = {http://www.cs.ru.nl/~tomh/techreports/nsspw_zoeteretal.pdf},
URL = {http://dx.doi.org/10.1109/NSSPW.2006.4378861}
}