Wim Wiegerinck

2007
21	EE	Wim Wiegerinck, Bart van den Broek, Bert Kappen: Optimal on-line scheduling in stochastic multiagent systems in continuous space-time. AAMAS 2007: 112
20	EE	Bastian Wemmenhove, Joris M. Mooij, Wim Wiegerinck, Martijn A. R. Leisink, Hilbert J. Kappen, Jan P. Neijt: Inference in the Promedas Medical Expert System. AIME 2007: 456-460
19	EE	Bart van den Broek, Wim Wiegerinck, Bert Kappen: Optimal Control in Large Stochastic Multi-agent Systems. Adaptive Agents and Multi-Agents Systems 2007: 15-26
2006
18	EE	Wim Wiegerinck, Bart van den Broek, Bert Kappen: Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems. UAI 2006
2005
17		Wim Wiegerinck: Modeling Bayesian Networks by Learning from Experts. BNAIC 2005: 305-312
2004
16	EE	Machiel Westerdijk, Wim Wiegerinck: Improving classification with latent variable models by sequential constraint optimization. Neurocomputing 56: 167-185 (2004)
2003
15	EE	Tom Heskes, Onno Zoeter, Wim Wiegerinck: Approximate Expectation Maximization. NIPS 2003
14		Wim Wiegerinck: 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. Artificial Intelligence in Medicine 27(2): 223-226 (2003)
13	EE	Tom Heskes, Jan-Joost Spanjers, Bart Bakker, Wim Wiegerinck: Optimising newspaper sales using neural-Bayesian technology. Neural Computing and Applications 12(3-4): 212-219 (2003)
2002
12	EE	Wim Wiegerinck, Tom Heskes: Fractional Belief Propagation. NIPS 2002: 438-445
11		Wim Wiegerinck, Tom Heskes: IPF for Discrete Chain Factor Graphs. UAI 2002: 560-567
2001
10	EE	Hilbert J. Kappen, Wim Wiegerinck: Novel iteration schemes for the Cluster Variation Method. NIPS 2001: 415-422
9		Machiel Westerdijk, David Barber, Wim Wiegerinck: Deterministic Generative Models for Fast Feature Discovery. Data Min. Knowl. Discov. 5(4): 337-363 (2001)
2000
8		Machiel Westerdijk, Wim Wiegerinck: Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination. ICML 2000: 1143-1150
7	EE	Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck: EM Algorithms for Self-Organizing Maps. IJCNN (6) 2000: 9-14
6		Hilbert J. Kappen, Wim Wiegerinck: Second Order Approximations for Probability Models. NIPS 2000: 238-244
5	EE	Wim Wiegerinck: Variational Approximations between Mean Field Theory and the Junction Tree Algorithm. UAI 2000: 626-633
4		Wim Wiegerinck: 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. Artificial Intelligence in Medicine 18(3): 267-270 (2000)
3		Wim Wiegerinck, Bert Kappen: Approximations of Bayesian Networks through KL Minimisation. New Generation Comput. 18(2): 167-176 (2000)
1999
2	EE	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: Approximate inference for medical diagnosis. Pattern Recognition Letters 20(11-13): 1231-1239 (1999)
1998
1	EE	David Barber, Wim Wiegerinck: Tractable Variational Structures for Approximating Graphical Models. NIPS 1998: 183-189

Coauthor Index

1	Bart Bakker	[13]
2	David Barber	[1] [9]
3	E. W. M. T. ter Braak	[2]
4	Bart van den Broek	[18] [19] [21]
5	W. J. P. P. ter Burg	[2]
6	Tom Heskes	[7] [11] [12] [13] [15]
7	Bert Kappen	[3] [18] [19] [21]
8	Hilbert J. Kappen	[2] [6] [10] [20]
9	Martijn A. R. Leisink	[20]
10	Joris M. Mooij	[20]
11	Jan P. Neijt	[2] [20]
12	Marcel J. Nijman	[2]
13	Y. L. O	[2]
14	Jan-Joost Spanjers	[7] [13]
15	Bastian Wemmenhove	[20]
16	Machiel Westerdijk	[8] [9] [16]
17	Onno Zoeter	[15]

Colors in the list of coauthors