Wim Wiegerinck

According to our database, Wim Wiegerinck authored at least 35 papers between 1996 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Bonaparte: Bayesian Networks to Give Victims back their Names.

Bert Kappen, Wim Wiegerinck

ERCIM News, 2016

2013

Bayesian Networks, Introduction and Practical Applications.

Wim Wiegerinck, Willem Burgers, Bert Kappen

Proceedings of the Handbook on Neural Information Processing, 2013

2011

BOVINOSE: Pheromone-Based Sensor System for Detecting Estrus in Dairy Cows.

W. A. J. J. Wiegerinck, Arunas Setkus, Vincas Buda, Anna-Karin Borg-Karlson, Raimondas Mozuraitis, A. de Gee

Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

Supermodeling by Combining Imperfect Models.

F. M. Selten, G. S. Duane, Wim Wiegerinck, Noel Keenlyside, Jürgen Kurths, Ljupco Kocarev

Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

Stochastic optimal control of state constrained systems.

Bart van den Broek, Wim Wiegerinck, Bert Kappen

Int. J. Control, 2011

2010

Bayesian Networks for Expert Systems: Theory and Practical Applications.

Wim Wiegerinck, Bert Kappen, Willem Burgers

Proceedings of the Interactive Collaborative Information Systems, 2010

A Bayesian petrophysical decision support system for estimation of reservoir compositions.

Willem Burgers, Wim Wiegerinck, Bert Kappen, Mirano Spalburg

Expert Syst. Appl., 2010

Risk Sensitive Path Integral Control.

Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen

Proceedings of the UAI 2010, 2010

2008

Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems.

Bart van den Broek, Wim Wiegerinck, Bert Kappen

J. Artif. Intell. Res., 2008

2007

Optimal on-line scheduling in stochastic multiagent systems in continuous space-time.

Wim Wiegerinck, Bart van den Broek, Bert Kappen

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Inference in the Promedas Medical Expert System.

Bastian Wemmenhove, Joris M. Mooij, Wim Wiegerinck, Martijn A. R. Leisink, Hilbert J. Kappen, Jan P. Neijt

Proceedings of the Artificial Intelligence in Medicine, 2007

Optimal Control in Large Stochastic Multi-agent Systems.

Bart van den Broek, Wim Wiegerinck, Bert Kappen

Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

2006

Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems.

Wim Wiegerinck, Bart van den Broek, Bert Kappen

Proceedings of the UAI '06, 2006

2005

Modeling Bayesian Networks by Learning from Experts.

Wim Wiegerinck

Proceedings of the BNAIC 2005, 2005

Approximations with Reweighted Generalized Belief Propagation.

Wim Wiegerinck

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Improving classification with latent variable models by sequential constraint optimization.

Machiel Westerdijk, Wim Wiegerinck

Neurocomputing, 2004

2003

Optimising newspaper sales using neural-Bayesian technology.

Tom Heskes, Jan-Joost Spanjers, Bart Bakker, Wim Wiegerinck

Neural Comput. Appl., 2003

Clinical Applications of Artificial Neural Networks: Richard Dybowski, Vanya Gant (Eds.), Cambridge University Press, Cambridge, UK, New York, Oakleigh, Madrid, Cape Town, 2001, 378 pp., 55 figures, 25 tables, Hardcover, ISBN 0521662710.

Wim Wiegerinck

Artif. Intell. Medicine, 2003

Approximate Expectation Maximization.

Tom Heskes, Onno Zoeter, Wim Wiegerinck

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

IPF for Discrete Chain Factor Graphs.

Wim Wiegerinck, Tom Heskes

Proceedings of the UAI '02, 2002

Fractional Belief Propagation.

Wim Wiegerinck, Tom Heskes

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Deterministic Generative Models for Fast Feature Discovery.

Machiel Westerdijk, David Barber, Wim Wiegerinck

Data Min. Knowl. Discov., 2001

Novel iteration schemes for the Cluster Variation Method.

Hilbert J. Kappen, Wim Wiegerinck

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Approximations of Bayesian Networks through KL Minimisation.

Wim Wiegerinck, Bert Kappen

New Gener. Comput., 2000

Functional Networks with Applications. A Neural-Based Paradigm, by E. Castillo, A. Cobo, J. M. Gutiérrez and R. E. Pruneda, Kluwer, 1998, ISBN 0-7923-8332-X.

Wim Wiegerinck

Artif. Intell. Medicine, 2000

Variational Approximations between Mean Field Theory and the Junction Tree Algorithm.

Wim Wiegerinck

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Second Order Approximations for Probability Models.

Hilbert J. Kappen, Wim Wiegerinck

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

EM Algorithms for Self-Organizing Maps.

Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination.

Machiel Westerdijk, Wim Wiegerinck

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Approximate inference for medical diagnosis.

Wim Wiegerinck, Hilbert J. Kappen, E. W. M. T. ter Braak, W. J. P. P. ter Burg, Marcel J. Nijman, Y. L. O, Jan P. Neijt

Pattern Recognit. Lett., 1999

A Development Protocol for a Diagnostic DSS.

O. Ying-Lie, W. J. P. P. ter Burg, E. W. M. T. ter Braak, Jan P. Neijt, W. A. J. J. Wiegerinck, Marcel J. Nijman, Hilbert J. Kappen

Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

1998

A neural network study of precollicular saccadic averaging.

Karin P. Krommenhoek, W. A. J. J. Wiegerinck

Biol. Cybern., 1998

Tractable Variational Structures for Approximating Graphical Models.

David Barber, Wim Wiegerinck

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1996

A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learning.

Tom Heskes, Wim Wiegerinck

IEEE Trans. Neural Networks, 1996

How Dependencies between Successive Examples Affect On-Line Learning.

Wim Wiegerinck, Tom Heskes

Neural Comput., 1996