How Dependencies between Successive Examples Affect On-Line Learning. - Wim Wiegerinck; Tom Heskes (Neural Comput., 1996)

A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learning. - Tom Heskes; Wim Wiegerinck (IEEE Trans. Neural Networks, 1996)

Tractable Variational Structures for Approximating Graphical Models. - David Barber; Wim Wiegerinck (NIPS, 1998)

A neural network study of precollicular saccadic averaging. - Karin P. Krommenhoek; W. A. J. J. Wiegerinck (Biol. Cybern., 1998)

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 (MIE, 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)

Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination. - Machiel Westerdijk; Wim Wiegerinck (ICML, 2000)

EM Algorithms for Self-Organizing Maps. - Tom Heskes; Jan-Joost Spanjers; Wim Wiegerinck (IJCNN (6), 2000)

Second Order Approximations for Probability Models. - Hilbert J. Kappen; Wim Wiegerinck (NIPS, 2000)

Variational Approximations between Mean Field Theory and the Junction Tree Algorithm. - Wim Wiegerinck (UAI, 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)

Approximations of Bayesian Networks through KL Minimisation. - Wim Wiegerinck; Bert Kappen (New Gener. Comput., 2000)

Novel iteration schemes for the Cluster Variation Method. - Hilbert J. Kappen; Wim Wiegerinck (NIPS, 2001)

Deterministic Generative Models for Fast Feature Discovery. - Machiel Westerdijk; David Barber; Wim Wiegerinck (Data Min. Knowl. Discov., 2001)

Fractional Belief Propagation. - Wim Wiegerinck; Tom Heskes (NIPS, 2002)

IPF for Discrete Chain Factor Graphs. - Wim Wiegerinck; Tom Heskes (UAI, 2002)

Approximate Expectation Maximization. - Tom Heskes; Onno Zoeter; Wim Wiegerinck (NIPS, 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)

Optimising newspaper sales using neural-Bayesian technology. - Tom Heskes; Jan-Joost Spanjers; Bart Bakker; Wim Wiegerinck (Neural Comput. Appl., 2003)

Improving classification with latent variable models by sequential constraint optimization. - Machiel Westerdijk; Wim Wiegerinck (Neurocomputing, 2004)

Approximations with Reweighted Generalized Belief Propagation. - Wim Wiegerinck (AISTATS, 2005)

Modeling Bayesian Networks by Learning from Experts. - Wim Wiegerinck (BNAIC, 2005)

Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems. - Wim Wiegerinck; Bart van den Broek; Bert Kappen (UAI, 2006)

Optimal Control in Large Stochastic Multi-agent Systems. - Bart van den Broek; Wim Wiegerinck; Bert Kappen (Adaptive Agents and Multi-Agents Systems, 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 (AIME, 2007)

Optimal on-line scheduling in stochastic multiagent systems in continuous space-time. - Wim Wiegerinck; Bart van den Broek; Bert Kappen (AAMAS, 2007)

Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems. - Bart van den Broek; Wim Wiegerinck; Bert Kappen (J. Artif. Intell. Res., 2008)

Risk Sensitive Path Integral Control. - Bart van den Broek; Wim Wiegerinck; Hilbert J. Kappen (UAI, 2010)

A Bayesian petrophysical decision support system for estimation of reservoir compositions. - Willem Burgers; Wim Wiegerinck; Bert Kappen; Mirano Spalburg (Expert Syst. Appl., 2010)

Bayesian Networks for Expert Systems: Theory and Practical Applications. - Wim Wiegerinck; Bert Kappen; Willem Burgers (Interactive Collaborative Information Systems, 2010)

Stochastic optimal control of state constrained systems. - Bart van den Broek; Wim Wiegerinck; Bert Kappen (Int. J. Control, 2011)

Supermodeling by Combining Imperfect Models. - F. M. Selten; G. S. Duane; Wim Wiegerinck; Noel Keenlyside; Jürgen Kurths; Ljupco Kocarev (FET, 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 (FET, 2011)

Bayesian Networks, Introduction and Practical Applications. - Wim Wiegerinck; Willem Burgers; Bert Kappen (Handbook on Neural Information Processing, 2013)

Bonaparte: Bayesian Networks to Give Victims back their Names. - Bert Kappen; Wim Wiegerinck (ERCIM News, 2016)