| Variational approximations between mean field theory and the junction tree algorithm W Wiegerinck arXiv preprint arXiv:1301.3901, 2013 | 123 | 2013 |
| Fractional belief propagation W Wiegerinck, T Heskes Advances in Neural Information Processing Systems 15, 2002 | 123 | 2002 |
| Central extensions and physics GM Tuynman, WAJJ Wiegerinck Journal of Geometry and Physics 4 (2), 207-258, 1987 | 106 | 1987 |
| A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learning T Heskes, W Wiegerinck IEEE transactions on neural networks 7 (4), 919-925, 1996 | 94 | 1996 |
| Graphical model inference in optimal control of stochastic multi-agent systems B Van Den Broek, W Wiegerinck, B Kappen Journal of Artificial Intelligence Research 32, 95-122, 2008 | 93 | 2008 |
| The potential of a portable, point-of-care electronic nose to diagnose tuberculosis RC Teixeira, M Rodríguez, NJ de Romero, M Bruins, R Gómez, ... Journal of Infection 75 (5), 441-447, 2017 | 89 | 2017 |
| Risk sensitive path integral control B van den Broek, W Wiegerinck, B Kappen Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence …, 2010 | 89* | 2010 |
| Approximate inference techniques with expectation constraints T Heskes, M Opper, W Wiegerinck, O Winther, O Zoeter Journal of Statistical Mechanics: Theory and Experiment 2005 (11), P11015, 2005 | 83 | 2005 |
| Tractable variational structures for approximating graphical models D Barber, W Wiegerinck Advances in Neural Information Processing Systems 11, 1998 | 69 | 1998 |
| A multi-model ensemble method that combines imperfect models through learning LA Van den Berge, FM Selten, W Wiegerinck, GS Duane Earth System Dynamics 2 (1), 161-177, 2011 | 64 | 2011 |
| Bayesian networks for expert systems: Theory and practical applications W Wiegerinck, B Kappen, W Burgers Interactive collaborative information systems, 547-578, 2010 | 57 | 2010 |
| Stochastic dynamics of learning with momentum in neural networks W Wiegerinck, A Komoda, T Heskes Journal of Physics A: Mathematical and General 27 (13), 4425, 1994 | 51 | 1994 |
| Inference in the promedas medical expert system B Wemmenhove, JM Mooij, W Wiegerinck, M Leisink, HJ Kappen, JP Neijt Conference on Artificial Intelligence in Medicine in Europe, 456-460, 2007 | 49 | 2007 |
| Approximate inference for medical diagnosis W Wiegerinck, HJ Kappen, E Ter Braak, W Ter Burg, MJ Nijman, JP Neijt Pattern Recognition Letters 20 (11-13), 1231-1239, 1999 | 46 | 1999 |
| BOVINOSE: pheromone-based sensor system for detecting estrus in dairy cows W Wiegerinck, A Setkus, V Buda, AK Borg-Karlson, R Mozuraitis, ... Procedia Computer Science 7, 340-342, 2011 | 41 | 2011 |
| Approximate expectation maximization T Heskes, O Zoeter, W Wiegerinck Advances in neural information processing systems 16, 2003 | 41 | 2003 |
| Stochastic optimal control in continuous space-time multi-agent systems W Wiegerinck, B Broek, H Kappen arXiv preprint arXiv:1206.6866, 2012 | 40 | 2012 |
| Dynamically combining climate models to “supermodel” the tropical Pacific ML Shen, N Keenlyside, F Selten, W Wiegerinck, GS Duane Geophysical Research Letters 43 (1), 359-366, 2016 | 39 | 2016 |
| Novel iteration schemes for the cluster variation method H Kappen, W Wiegerinck Advances in neural information processing systems 14, 2001 | 38 | 2001 |
| Bayesian networks, introduction and practical applications W Wiegerinck, W Burgers, B Kappen Handbook on neural information processing, 401-431, 2013 | 33 | 2013 |
