Wim Wiegerinck

36 papers A* 1A 6B 1Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	Bonaparte: Bayesian Networks to Give Victims back their Names. ERCIM News Bert Kappen, Wim Wiegerinck
2013	—	`ch.`	Bayesian Networks, Introduction and Practical Applications. Handbook on Neural Information Processing Wim Wiegerinck, Willem Burgers, Bert Kappen
2013	J	`jnl`	IPF for Discrete Chain Factor Graphs CoRR Wim Wiegerinck, Tom Heskes
2013	J	`jnl`	Variational Approximations between Mean Field Theory and the Junction Tree Algorithm CoRR Wim Wiegerinck
2012	J	`jnl`	Risk Sensitive Path Integral Control CoRR Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen
2012	J	`jnl`	Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems. CoRR Wim Wiegerinck, Bart van den Broek, Hilbert J. Kappen
2011	J	`jnl`	Stochastic optimal control of state constrained systems. Int. J. Control Bart van den Broek, Wim Wiegerinck, Bert Kappen
2011	—	`conf`	Supermodeling by Combining Imperfect Models. FET F. M. Selten, G. S. Duane, Wim Wiegerinck, Noel Keenlyside, Jürgen Kurths, Ljupco Kocarev
2010	J	`jnl`	A Bayesian petrophysical decision support system for estimation of reservoir compositions. Expert Syst. Appl. Willem Burgers, Wim Wiegerinck, Bert Kappen, Mirano Spalburg
2010	—	`ch.`	Bayesian Networks for Expert Systems: Theory and Practical Applications. Interactive Collaborative Information Systems Wim Wiegerinck, Bert Kappen, Willem Burgers
2010	A	`conf`	Risk Sensitive Path Integral Control. UAI Bart van den Broek, Wim Wiegerinck, Hilbert J. Kappen
2008	J	`jnl`	Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems. J. Artif. Intell. Res. Bart van den Broek, Wim Wiegerinck, Bert Kappen
2007	B	`conf`	Inference in the Promedas Medical Expert System. AIME Bastian Wemmenhove, Joris M. Mooij, Wim Wiegerinck, Martijn A. R. Leisink, Hilbert J. Kappen, Jan P. Neijt
2007	—	`conf`	Optimal Control in Large Stochastic Multi-agent Systems. Adaptive Agents and Multi-Agents Systems Bart van den Broek, Wim Wiegerinck, Bert Kappen
2007	A	`conf`	Optimal on-line scheduling in stochastic multiagent systems in continuous space-time. AAMAS Wim Wiegerinck, Bart van den Broek, Bert Kappen
2006	A	`conf`	Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems. UAI Wim Wiegerinck, Bart van den Broek, Bert Kappen
2005	A	`conf`	Approximations with Reweighted Generalized Belief Propagation. AISTATS Wim Wiegerinck
2005	—	`conf`	Modeling Bayesian Networks by Learning from Experts. BNAIC Wim Wiegerinck
2004	J	`jnl`	Improving classification with latent variable models by sequential constraint optimization. Neurocomputing Machiel Westerdijk, Wim Wiegerinck
2003	—	`conf`	Approximate Expectation Maximization. NIPS Tom Heskes, Onno Zoeter, Wim Wiegerinck
2003	J	`jnl`	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. Artif. Intell. Medicine Wim Wiegerinck
2003	J	`jnl`	Optimising newspaper sales using neural-Bayesian technology. Neural Comput. Appl. Tom Heskes, Jan-Joost Spanjers, Bart Bakker, Wim Wiegerinck
2002	—	`conf`	Fractional Belief Propagation. NIPS Wim Wiegerinck, Tom Heskes
2002	A	`conf`	IPF for Discrete Chain Factor Graphs. UAI Wim Wiegerinck, Tom Heskes
2001	J	`jnl`	Deterministic Generative Models for Fast Feature Discovery. Data Min. Knowl. Discov. Machiel Westerdijk, David Barber, Wim Wiegerinck
2001	—	`conf`	Novel iteration schemes for the Cluster Variation Method. NIPS Hilbert J. Kappen, Wim Wiegerinck
2000	J	`jnl`	Approximations of Bayesian Networks through KL Minimisation. New Gener. Comput. Wim Wiegerinck, Bert Kappen
2000	A*	`conf`	Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination. ICML Machiel Westerdijk, Wim Wiegerinck
2000	—	`conf`	EM Algorithms for Self-Organizing Maps. IJCNN (6) Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
2000	J	`jnl`	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. Artif. Intell. Medicine Wim Wiegerinck
2000	—	`conf`	Second Order Approximations for Probability Models. NIPS Hilbert J. Kappen, Wim Wiegerinck
2000	A	`conf`	Variational Approximations between Mean Field Theory and the Junction Tree Algorithm. UAI Wim Wiegerinck
1999	J	`jnl`	Approximate inference for medical diagnosis. Pattern Recognit. Lett. 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
1998	—	`conf`	Tractable Variational Structures for Approximating Graphical Models. NIPS David Barber, Wim Wiegerinck
1996	J	`jnl`	A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learning. IEEE Trans. Neural Networks Tom Heskes, Wim Wiegerinck
1996	J	`jnl`	How Dependencies between Successive Examples Affect On-Line Learning. Neural Comput. Wim Wiegerinck, Tom Heskes