David Barber and Tom Heskes.
An introduction to neural networks.
In Encyclopedia of Life Support Systems.
2004.
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Bart Bakker,
Tom Heskes,
Jan Neijt,
and Bert Kappen.
Improving Cox survival analysis with a neural-Bayesian approach.
Statistics in Medicine,
23:2989-3012,
2004.
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Tom Heskes.
On the uniqueness of loopy belief propagation fixed points.
Neural Computation,
16:2379-2413,
2004.
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Tom Heskes,
Onno Zoeter,
and Wim Wiegerinck.
Approximate Expectation Maximization.
In S. Thrun,
L. Saul,
and B. Schölkopf, editors,
Advances in Neural Information Processing Systems 16,
Cambridge,
pages 353-360,
2004.
MIT Press.
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Alexander Ypma and Tom Heskes.
Novel approximations for inference and learning in nonlinear dynamical systems.
In 12th European Symposium on Artificial Neural Networks ESANN'04,
Brugge, Belgium,
pages 361-366,
2004.
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Alexander Ypma,
Machiel Westerdijk,
Henk-Jaap de Walle,
and Tom Heskes.
Bayesian techniques for modelling dynamic patterns.
In 4th European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems EUNITE 2004,
Aachen, Germany,
2004.
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Onno Zoeter,
Alexander Ypma,
and Tom Heskes.
Improved unscented Kalman smoothing for stock volatility estimation.
In A. Bassos,
J. Principe,
J. Larsen,
T. Adali,
and S. Douglas, editors,
Proceedings of the 2004 IEEE International Workshop on Machine Learning for Signal Processing,
São Luis, Brazil,
pages 143-152,
2004.
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