Publications Wim Wiegerinck

W.A.J.J. Wiegerinck, W.Burgers, H.J. Kappen
Bayesian networks, Introduction and Practical Applications.
In: Monica Bianchini, Marco Maggini, Lakhmi, C. Jain, Handbook on Neural Information Processing.
Intelligent Systems Reference Library Volume 49, 2013, pp 401-431. Springer 2013.
doi:10.1007/978-3-642-36657-4_12 [prepint (pdf)]

Wim Wiegerinck, Willem Burgers, and Frank Selten
Supermodeling With A Global Atmospheric Model
EGU General Assembly Conference Abstracts. Vol. 15. 2013.
abstract and presentation

Mao-Lin Shen, Noel Keenlyside, Frank Selten, Gregory Duane, Wim Wiegerinck, and Paul Hiemstra
Reducing Model Systematic Error through Super Modelling
EGU General Assembly Conference Abstracts. Vol. 15. 2013.
abstract

Wim Wiegerinck and Lasko Basnarkov
Attractor Learning In Interactive Ensembles
EGU General Assembly Conference Abstracts. Vol. 15. 2013.
abstract an d presentation

Mao-Lin Shen, Noel Keenlyside, Frank Selten, Wim Wiegerinck, and Gregory Duane
Reducing Model Systematic Error through Super Modelling - The Tropical Pacific
American Geophysical Union, Fall Meeting 2013 [abstract]

W. Wiegerinck, M. Mirchev, W. Burgers, and F. Selten.
Supermodeling Dynamics and Learning Mechanisms.
In: Consensus and Synchronization in Complex Networks, Kocarev, Ljupco (Ed.), Springer, 2013 [book site] [preprint (pdf)]

W. Wiegerinck, W. Burgers, and F. Selten
On the Limit of Large Couplings and Weighted Averaged Dynamics.
In: Consensus and Synchronization in Complex Networks, Kocarev, Ljupco (Ed.), Springer, 2013 [book site] [preprint (pdf)]

F. Selten and W. Wiegerinck
Supermodels: Dynamically Coupled Ensembles of Imperfect Models.
Nonlinear Data Analysis and Modeling: Advances, Applications, Perspectives.
Conference on the occasion of Prof. Jürgen Kurths' 60th birthday.

Wim Wiegerinck, Willem Burgers and Frank Selten
Supermodels: Dynamically Coupled Imperfect Models BENELEARN 2013 [pdf]

2012

Tramper JJ, van den Broek B, Wiegerinck W, Kappen HJ, Gielen S (2012)
Time-Integrated Position Error Accounts for Sensorimotor Behavior in Time-Constr ained Tasks.
PLoS ONE 7(3): e33724. doi:10.1371/journal.pone.0033724 [Open access]

W. Wiegerinck, F.M. Selten.
Supermodels: Dynamically Coupled Ensembles of Imperfect Models
Climate Informatics 2012, The Second International Workshop on Climate Informatics, September 20-21, 2012
[pdf, workshop site]

2011

W. Wiegerinck, F.M. Selten.
Supermodeling: Combining Imperfect Models through Learning
NIPS Workshop on Machine Learning for Sustainability (MLSUST), December 2011.
[pdf, workshop site]

C.J. van Dongen, K. Slooten, M. Slagter, W. Burgers, W. Wiegerinck
Bonaparte: Application of new software for missing persons program
Forensic Science International: Genetics Supplement Series
Volume 3, Issue 1, December 2011, Pages e119-e120, ISSN 1875-1768, 10.1016/j.fsigss.2011.08.059. [Sciencedirect.com]

B. van den Broek, W. Wiegerinck, B. Kappen
Stochastic Optimal Control of State Constrained Systems.
International Journal of Control, Vol. 84, Iss. 3, p 597-615, 2011
[eprint] doi:10.1080/00207179.2011.565520

W. Wiegerinck, A. Setkus, V. Buda, A.-K. Borg-Karlson, R. Mozuraitis, A. de Gee
BOVINOSE: Pheromone-Based Sensor System for Detecting Estrus in Dairy Cows
Procedia Computer Science, Volume 7, 2011, Pages 340-342, ISSN 1877-0509, 10.1016/j.procs.2011.09.024.
[Sciencedirect.com]

F.M. Selten, G.S. Duane, W. Wiegerinck, N. Keenlyside, J. Kurths, L. Kocarev
Supermodeling by combining imperfect models.
Procedia Computer Science, Volume 7, 2011, Pages 261-263, ISSN 1877-0509, 10.1016/j.procs.2011.09.025.
[Sciencedirect.com]

L. van den Berge, F. Selten, W. Wiegerinck, G.S. Duane
A multi-model ensemble method that combines imperfect models through learning
Earth System Dynamics, 2, 161-177, 2011 [pdf] [Earth System Dynamics Page] doi:10.5194/esd-2-161-2011.

2010

B. van den Broek, W. Wiegerinck, B. Kappen
Risk Sensitive Path Integral Control.
UAI 2010 [pdf, uai-site]

W. Burgers, W. Wiegerinck, B. Kappen, M. Spalburg
A Bayesian Petrophysical Decision Support System for Estimation of Reservoir Compositions
Expert Systems with Applications. Vol 37, pp 7526-7532 (2010), [doi:10.1016/j.eswa.2010.04.092 ] [preprint (pdf)]

W.A.J.J. Wiegerinck, H.J. Kappen, W. Burgers
Bayesian networks for expert systems, theory and practical applications.
In: R. Babuska and F.C.A. Groen (Eds.): Interactive Collaborative Information Systems, SCI 281, pp. 547 - 578. Springer 2010. [doi:10.1007/978-3-642-11688-9_20 ] [preprint (pdf)]

C.J. van Dongen, K. Slooten, M. Slagter, W. Burgers and W. Wiegerinck.
Application of software based on Bayesian networks in DNA disaster victim identification.
English Speaking Working Group (ESWG) International Society of Forensic Genetics (ISFG), 2010

C.J. van Dongen, C. van Kooten, A.J. Kal, K. Slooten, M. Slagter, W. Burgers, W. Wiegerinck.
Bonaparte DVI: Software based on Bayesian networks assists in DVI after the Afriqiyah Airways Flight 8U771 crash in Tripoli.
Genetic Identity Conference Proceedings 21st International Symposium on Human Identification (Promega) 2010

W. Burgers, W. Wiegerinck. Bonaparte Disaster Victim Identification System.
22nd Benelux Conference on Artificial Intelligence (BNAIC 2010) - Best demo award. [pdf]

2009

C.J. Bruijning-van Dongen, K. Slooten, W. Burgers, W. Wiegerinck
Bayesian networks for victim identification on the basis of DNA profiles
Forensic Science International: Genetics Supplement Series 2 (2009) 466-468 [doi:10.1016/j.fsigss.2009.08.024 ]

2008

Bart van den Broek, Wim Wiegerinck, and Bert Kappen
Graphical models inference in optimal control of stochastic multi-agent systems
JAIR, vol 32, 2008, 95-122 [pdf-journal site]

2007

Wim Wiegerinck, Bart van den Broek and Bert Kappen
"Optimal On-line Scheduling in Stochastic Multi-Agent Systems in Continuous Space and Time",
AAMAS 2007: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, pp749-756. [pdf] [ps] [doi.acm.org]

Bart van den Broek, Wim Wiegerinck, and Bert Kappen
Optimal Control in Large Stochastic Multi-Agent Systems,
ALAMAS 2007, pp 9-20. (Proceedings on alamas web-page).

B. Wemmenhove, J.M. Mooij, W. Wiegerinck, M. Leisink, H.J. Kappen, J.P. Neijt
"Inference in the Promedas medical expert system" ,
AIME 2007

2006

Wim Wiegerinck and Bert Kappen
A Gaussian Approximation for Stochastic Nonlinear Dynamical Processes with Annihilation
NIPS 2006 Workshop on Dynamical Systems, Stochastic Processes and Bayesian Inference
Talk and paper on the workshops website

Hilbert J. Kappen, Wim Wiegerinck, B. van den Broek
A path integral approach to agent planning [pdf]
Workshop: Towards a New Reinforcement Learning?

Wim Wiegerinck, Bart van den Broek and Bert Kappen
Stochastic optimal control in continuous space-time multi-agent systems
In: UAI 2006.(22-th conference, pp 528-535) [pdf] [ps] [slides.pdf]

2005

Tom Heskes, Manfred Opper, Wim Wiegerinck, Ole Winther, Onno Zoeter (2005).
Approximate inference techniques with expectation constraints.
In: Journal of Statistical Mechanics: Theory and Experiment [pdf] [ps] [Journal site]

Wim Wiegerinck
Modeling Bayesian Networks by Learning from Experts
In: BNAIC 2005 pp 305-310. [ps] [pdf]

Wim Wiegerinck
Approximations with Reweighted Generalized Belief Propagation
In: AISTATS 2005. [ps.gz] [pdf]
(updated since final submission: some typos were removed)

2004

Wim Wiegerinck (2004)
Approximate Explanation of Reasoning in Bayesian Networks
In: Workshop Probabilistic Graphical Models 2004 (PGM '04), pp 209-216 . [pdf]

Tom Heskes, Wim Wiegerinck, and Onno Zoeter (2004)
Approximate Expectation Maximization.
In: Proceedings NIPS 16 [pdf]

Westerdijk M.J.D. and Wiegerinck W.A.J.J.
Improving classification with latent variable models by sequential constraint optimization
Neurocomputing 56 (2004) 167-185
ScienceDirect

Tom Heskes, Jan-Joost Spanjers, Bart Bakker, and Wim Wiegerinck (2004)
Optimising newspaper sales using neural-Bayesian technology.
Neural Computing and Applications, 12: 212-219. [pdf][journal site]

2003

Wiegerinck, W. and Heskes, T. (2003) Fractional Belief Propagation , (Link to the preliminary version) ,
Proceedings NIPS 15, pp438-445

Heskes T.M.,Lucas P.,Vuurpijl L.,Wiegerinck W.A.J.J. (editors).
BNAIC 2003, 15th Belgium-Netherlands Conference on Artificial Intelligence, volume 15, pages 1-468.

Bert Kappen, Wim Wiegerinck, Ender Akay, Marcel Nijman, Jan Neijt, and Andre van Beek,
Promedas: A diagnostic decision support system
Proceedings of the 15th Belgian-Dutch Conference on Artificial Intelligence (BNAIC'03). pages 455-6
(best demo award)

B. Kappen, W. Wiegerinck, E. Akay, J. Neijt, A. van Beek:
Promedas: A clinical diagnostic decision support system
in Bayesian Modeling Applications Workshop held during UAI 2003 August 7, 2003 Acapulco, Mexico

W. Wiegerinck (BOOK REVIEW)
Clinical Applications of Artificial Neural Networks by Richard Dybowski, Vanya Gant (Eds.),
Artificial Intelligence in Medicine
Volume 27, Issue 2 , February 2003, Pages 223-226
Book review in ScienceDirect

2002

Wiegerinck, W. and Heskes, T.
IPF for discrete chain factor graphs ,
UAI-2002 [pdf]

H.J. Kappen and W. Wiegerinck
Novel iteration schemes for the Cluster Variation Method,
In: Advances in Neural Information Processing Systems 14, 415--422
Tom Dietterich, Sue Becker and Zoubin Ghahramani (Eds.),
MIT Press 2002.

Wim Wiegerinck and Tom Heskes (2002).
Belief networks / Bayesian networks.
In: Dealing with the data flood. Mining data, text and multimedia, ed. J. Meij.2001 pages 660-665 [ps.gz]

H.J. Kappen, W. Wiegerinck, E.W.M.T ter Braak
"Decision support for medical diagnosis,"
Dealing with the data flood. Mining data, text and multimedia, ed. J. Meij.
STT 2001 pages 111-121

2001

Wiegerinck, W. and Heskes, T.
Probability Assessment with Maximum Entropy in Bayesian Networks,
Computing Science and Statistics, Volume 33 -- Proceedings of Interface '01

Wiegerinck, W. and Heskes, T. Probability Assessment with Maximum Entropy in Bayesian Networks,
AIME'01 Workshop Bayesian Models In Medicine, pages 71-80.

H.J. Kappen and W. Wiegerinck
Mean field theory for graphical models,
In: Advanced Mean Field Theory, David Saad and Manfred Opper (Eds.),
pg. 37-49 MIT Press 2001.

H.J. Kappen and W. Wiegerinck
Second order approximations for probability models,
In: Advances in Neural Information Processing Systems 13
MIT Press 2001, pg. 238-244.

Westerdijk M.J.D., Barber D. and Wiegerinck W.A.J.J.
Deterministic Generative Models for Fast Feature Discovery,
Data mining and Knowledge Discovery, 5 (4): 337-363, October 2001

Kappen, H.J. Gielen, C., Wiegerinck, W., Cemgil, A.T., Heskes, T. Nijman, M. Leisink, M. (2001)
Approximate reasoning: Real-world applications of graphical models,
Foundations of Real World Intelligence (Y. Uesaka, P. Kanerva, and H. Asoh, (Eds) ) p ages 73-122

2000

Heskes T.M.,Spanjers J.J., and Wiegerinck W.A.J.J.
EM algorithms for self-organizing maps,
IJCNN'2000, Int. Joint conference on neural networks

Westerdijk M.J.D. and Wiegerinck W.A.J.J. (2000)
Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination,
International Conference on Machine Learning 2000

H.J. Kappen, W. Wiegerinck and M. Nijman,
BayesBuilder,
NIPS workshop "Software Support for Bayesian Analysis Systems" (2000).

Wiegerinck, W.
Variational approximations between mean field theory and the junction tree algorithm ,
UAI-2000 (16-th conference) pp.626-633

Wiegerinck, W. et.al
Variational methods for approximate reasoning in graphical models,
RWC2000

Wiegerinck, W. and Kappen, H.
Approximations of Bayesian networks through KL minimisation,
New Generation Computing. 18 (2000) 167-175

W. Wiegerinck (BOOK REVIEW)
Functional Networks with Applications. A Neural-Based Paradigm, by E. Castillo, A. Cobo, J.M. Gutiérrez and R.E. Pruneda,
Artificial Intelligence in Medicine
Volume 18, Issue 3 , March 2000, Pages 267-270
Book review in ScienceDirect

1999

Westerdijk M.J.D., Barber, D., and Wiegerinck W.A.J.J. (1999)
Generative Vector Quantisation, Artificial neural networks 9, volume 2, pages 934-940.

Wiegerinck, W. et al.
Approximate Inference for Medical Diagnosis,
Pattern Recognition Letters 20 (1999) 1231-1239

Barber, D. and Wiegerinck, W.
Tractable Variational Structures for Approximating Graphical Models,
Advances in Neural Information Processing Systems (NIPS) 11, eds. Kearns, M., Solla, S., and Cohn, D., pp. 183-189, 1999.

O, Y-L, ter Burg, W.J.P.P., ter Braak, E.W.M.T., Neijt, J.P., Wiegerinck, W.A.J.J., Nijman, M.J., and Kappen, H.J.
A Development Protocol for a Diagnostic DSS
MIE, 1999

1998

Barber, D. and Wiegerinck, W.
Tractable Undirected Approximations for Graphical Models,
Proceedings ICANN 98. Skovde, Sweden, 2-4 September 1998.Niklasson, Boden and Ziemke (eds.). pag 93-98

Wiegerinck, W. et al.
Variational Approximations in a Broad and Detailed Probabilistic Model for Medical Diagnosis,
Proceedings of the Tenth Netherlands/Belgium Conference on Artificial Intelligence. CWI, Amsterdam 18-19 November 1998. La Poutre and van den Herik (eds.) pag. 185-91

Wiegerinck, W. and Barber, D.
Variational Belief Networks for Approximate Inference,
Proceedings of the Tenth Netherlands/Belgium Conference on Artificial Intelligence. CWI, Amsterdam 18-19 November 1998. La Poutre and van den Herik (eds.). pag. 177-83

Wiegerinck, W. and Barber, D.
Mean Field Theory based on Belief Networks for Approximate Inference,
Proceedings ICANN 98. Skovde, Sweden, 2-4 September 1998.Niklasson, Boden and Ziemke (eds.). pag 499-504

Tom Heskes and Wim Wiegerinck
On-line learning with time-correlated examples,
On-line Learning in Neural Networks, ed. Saad, D. ,pp 251-278 1998.

Krommenhoek, K. and Wiegerinck, W.
A neural network study of precollicular saccadic averaging,
Biological Cybernetics, Vol. 78, No. 6, pp. 465-477, 1998

Kappen H.J.,Gielen C.C.A.M., Heskes T.M., Wiegerinck W.A.J.J., Barber D., Laar P. van de (1998).
Probabilistic knowledge representation
RWC'98, Tokyo, Japan, pages 285-292.

1997

Wiegerinck, W.A.J.J, ter Burg, W.J.P.P., van Dam, P.S., O, Y.L., Neijt, J.P., Kappen, H.J. (1997)
An advisory system for anaemia based on Boltzmann machines
EUFIT '97,

Kappen, H., Wiegerinck, W., Morgan, T., Dorronsoro J., Chiozza E., Harris T., Paillet, G., Kopecz, J. (1997)
Stimulation Initiative for European Neural Applications (SIENA)
Proceedings SNN, (H.J. Kappen, S. Gielen, eds.) World Scientific, pp. 1-10.

Wiegerinck, W. and Kappen, H.(1997)
Lab-test selection in diagnosis of anaemia
Proceedings 1997 RWC Symposium}, Tokyo

1996

Wiegerinck, W. and Heskes, T.
How dependencies between successive examples affect on-line learning,
Neural Computation, Vol. 8, No. 8 , 1996.

Heskes, T. and Wiegerinck, W.
A theoretical comparison of batch-mode, on-line, cyclic, and almost cyclic learning ,
IEEE Transactions on Neural Networks, Vol. 7, No. 4, 1996.

1995

Heskes, T. and Wiegerinck, W. (1995)
Presentation order and on-line learning
in: ICANN'95 / NEURONIMES'95 Paris.

1994

Wiegerinck, W., Komoda, A., and Heskes, T.
Stochastic dynamics of learning with momentum in neural networks,
Journal of Physics A, Vol. 27, pp. 4425-4437, 1994.

Wiegerinck, W. and Heskes, T.
On-line learning with time-correlated patterns,
Europhysics Letters, Vol. 28, No. 6, pp. 451-455, 1994.

1993

Wiegerinck, W. and Coolen, A.
The connections of large perceptrons
Journal of Physics A, Vol. 26, pp. 2535-2548, 1993.

Wiegerinck, W. and Kappen, B. (1993)
Optimizing the architecture of multi-layer perceptrons for one-dimensional classification
in: ICANN'93: Proceedings of the International Conference on Artificial Neural Networks.

1992

Wiegerinck, W. and Coolen, A. (1992) ``The connections of large perceptrons'' ICANN'92: Proceedings of the International Conference on Artificial Neural Networks

Thesis (1996)

Wiegerinck, W.
Stochastic Dynamics of On-Line Learning in Neural Networks
PhD Thesis - University of Nijmegen - 26 January 1996
Nederlandse samenvatting

Other scientific publications

Tuynman, G. and Wiegerinck, W.
Central extensions and physics
J. Phys. Geom., Vol. 4, pp. 207-258, 1987.
Note: in many citations of this paper, my name is misspelled as Weigerinck

Wiegerinck, W. and Tennekes, H.
On the information flow for one-dimensional maps
Phys. Lett. A, Vol. 144, pp 145-152, 1990.

Non-technical papers on neural networks / graphical models/ industrial applications

See also the SIENA pages for a collection of about 30 one-page descriptions of successful neural network applications throughout Europe (1996). In addition, you can find an extended report of the European neural network market (html) in 1996.

Wim Wiegerinck and Tom Heskes
Neurale netwerken, de techniek van wakker Nederland , (in Dutch)
PolyTechnisch tijdschrift 4, jaargang 52, april 1997

Wim Wiegerinck and Bert Kappen
Doorbraak neurale netwerken afhankelijk van standaardisatie (in Dutch)
Automatisering Gids, 11 oktober 1996 nr 41

Publications by Wim Wiegerinck

Scientific publications and abstracts on graphical models, Bayesian inference, machine learning, neural networks and related subjects -

2020

2019

2018

2017

2016

2015

2014

2013