Kees Albers,
Tom Heskes,
and Bert Kappen.
Haplotype inference in general pedigrees using the cluster variation method.
Genetics,
177:1101-1116,
2007.
@ARTICLE{albers2007, AUTHOR = {Kees Albers and Tom Heskes and Bert Kappen}, TITLE = {Haplotype inference in general pedigrees using the cluster variation method}, JOURNAL = {Genetics}, VOLUME = 177, PAGES = {1101-1116}, URL = {http://dx.doi.org/10.1534/genetics.107.074047}, YEAR = 2007 }
Bart Bakker and Tom Heskes.
Learning and approximate inference in dynamic hierarchical models.
Computational Statistics & Data Analysis,
52:821-839,
2007.
@ARTICLE{bak07, AUTHOR = {Bart Bakker and Tom Heskes}, YEAR = 2007, TITLE = {Learning and approximate inference in dynamic hierarchical models}, JOURNAL = {Computational Statistics \& Data Analysis}, VOLUME = {52}, PAGES = {821-839}, URL = {http://dx.doi.org/10.1016/j.csda.2007.01.001}, PS = {http://www.cs.ru.nl/~tomh/techreports/HierarchicalTimeSeries.ps} }
Marcel van Gerven,
Rasa Jurgelenaite,
Babs Taal,
Tom Heskes,
and Peter Lucas.
Predicting carcinoid heart disease with the noisy-threshold classifier.
Artificial Intelligence in Medicine,
40:45-55,
2007.
@ARTICLE{gerven2007, AUTHOR = {Gerven, Marcel van and Jurgelenaite, Rasa and Taal, Babs and Heskes, Tom and Lucas, Peter}, TITLE = {Predicting carcinoid heart disease with the noisy-threshold classifier}, JOURNAL = {Artificial Intelligence in Medicine}, VOLUME = 40, YEAR = 2007, PAGES = {45-55}, URL = {http://dx.doi.org/10.1016/j.artmed.2006.09.003} }
Adriana Birlutiu and Tom Heskes.
Expectation propagation for rating players in sports competitions.
In Joost N. Kok,
Jacek Koronacki,
Ramon López de Mántaras,
Stan Matwin,
Dunja Mladenic,
and Andrzej Skowron, editors,
Proceedings ECML/PKDD,
volume 4702 of Lecture Notes in Computer Science,
pages 374-381,
2007.
Springer.
@INPROCEEDINGS{birlutiu2007, AUTHOR = {Adriana Birlutiu and Tom Heskes}, TITLE = {Expectation propagation for rating players in sports competitions}, EDITOR = {Joost N. Kok and Jacek Koronacki and Ramon L{\'o}pez de M{\'a}ntaras and Stan Matwin and Dunja Mladenic and Andrzej Skowron}, BOOKTITLE = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings}, PUBLISHER = {Springer}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {4702}, YEAR = {2007}, BOOKTITLE = {Proceedings ECML/PKDD}, YEAR = 2007, PAGES = {374-381}, URL = {http://dx.doi.org/10.1007/978-3-540-74976-9_36}, PDF = {http://www.cs.ru.nl/~tomh/techreports/eprating.pdf} }
Christian Hesse,
Robert Oostenveld,
Tom Heskes,
and Ole Jensen.
On the development of a brain-computer interface system using high-density magnetoencephalogram signals for real-time control of a robot arm.
In Annual Symposium of the IEEE-EMBS Benelux Chapter,
2007.
@INPROCEEDINGS{hesseembs2007, AUTHOR = {Christian Hesse and Robert Oostenveld and Tom Heskes and Ole Jensen}, TITLE = {On the development of a brain-computer interface system using high-density magnetoencephalogram signals for real-time control of a robot arm}, BOOKTITLE = {Annual Symposium of the IEEE-EMBS Benelux Chapter}, YEAR = 2007, PDF = {http://www.cs.ru.nl/~tomh/techreports/Hesse-etal-IEEE-EMBS-Benelux-2007.pdf} }
Rasa Jurgelenaite,
Tom Heskes,
and Tjeerd Dijkstra.
Using symmetric causal independence models to predict gene expression from sequence data.
In A. Fazel Famili,
Xiaohui Liu,
and José-Marìa Peña, editors,
Proceedings of the 2nd Workshop in Data Mining in Functional Genomics and Proteomics,
pages 67-78,
2007.
@INPROCEEDINGS{jurgelenaite2007, AUTHOR = {Rasa Jurgelenaite and Tom Heskes and Tjeerd Dijkstra}, TITLE = {Using symmetric causal independence models to predict gene expression from sequence data}, BOOKTITLE = {Proceedings of the 2nd Workshop in Data Mining in Functional Genomics and Proteomics}, EDITORS = {A. Fazel Famili and Xiaohui Liu and Jos{\'e}-Mar{\'i}a Pe{\~n}a}, PAGES = {67-78}, YEAR = 2007, PDF = {http://www.cs.ru.nl/~tomh/techreports/malaria_workshop.pdf} }
Adriana Birlutiu and Tom Heskes.
Bayesian machine learning for hearing aid fitting.
Technical report,
ICIS, RU Nijmegen,
2007.
Study for GN ReSound.
@TECHREPORT{resound2007, AUTHOR = {Adriana Birlutiu and Tom Heskes}, TITLE = {Bayesian machine learning for hearing aid fitting}, INSTITUTION = {ICIS, RU Nijmegen}, NOTE = {Study for GN ReSound}, YEAR = 2007 }