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Dr. W.A.J.J. Wiegerinck (Wim Wiegerinck)
| wimw@mbfys.ru.nl | |
| University | University of Nijmegen
Department of Medical physics and Biophysics |
| Address |
Geert Grooteplein N 21
6525 EZ Nijmegen The Netherlands |
| Room | 00.24 |
| Phone | 31 24 3615040 |
| Fax | 31 24 3541435 |
Current project(s)
Publications 1996 - 2007
Wiegerinck, W.A.J.J. (2005). Modeling Bayesian Networks by Learning from Experts. In K. Verbeek, K. Tuyls, A. Nowé, B. Manderick, & B. Kuypers (Eds.), BNAIC'05: Proceedings of the 17th Belgium-Netherlands Artificial Intelligence Conference 2005 (pp. 305-310). Brussel: Koninklijke Vlaamse Academie van België voor Wetenschappen en Kunsten. (more info)
Heskes, T.M., Wiegerinck, W.A.J.J., & Zoeter, O.R. (2004). Approximate Expectation Maximization. In Proceedings NIPS 16, volume 16 (pp. cd-rom). (more info)
Westerdijk, M.J.D., & Wiegerinck, W.A.J.J. (2004). Improving Classification with Latent Variable Models by Sequential Constraint Optimization. Neurocomputing, 56 (1), 167-186. (more info)
Wiegerinck, W.A.J.J. (2004). Approximate Explanations of Reasoning in Bayesian Networks. In Proceedings of the 2nd European Workshop on Probabilistic Graphical Models (PGM'04) (pp. 209-216). (more info)
Wiegerinck, W.A.J.J. (2004). Approximations with Reweighted Generalized Belief Propagation. In AISTATS 2005. (more info)
Heskes, T.M., Lucas, P.J.F., Vuurpijl, L.G., & Wiegerinck, W.A.J.J. (Eds.) (2003). BNAIC'03: Proceedings of the 15th Belgium-Netherlands Artificial Intelligence Conference. Nijmegen: University of Nijmegen. (more info)
Heskes, T.M., Spanjers, J.J., Bakker, B.J., & Wiegerinck, W.A.J.J. (2003). Optimising newspaper sales using neural-Bayesian technology. Neural Computing & Applications, 12 (3-4), 212-219. (more info)
Kappen, H.J., Wiegerinck, W.A.J.J., Akay, E., Nijman, M.J., Neijt, J.P., & Van Beek, A. (2003). Multi-scale switching linear dynamical systems. In T.M. Heskes, P.J.F. Lucas, L.G. Vuurpijl, & W.A.J.J. Wiegerinck (Eds.), BNAIC'03: Proceedings of the 15th Belgium-Netherlands Artificial Intelligence Conference (pp. 455-456). Nijmegen: University of Nijmegen. (more info)
Wiegerinck, W.A.J.J.Clinical Applications of Artificial Neural Networks (more info)
Wiegerinck, W.A.J.J. (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, Price: (GBP) 60.00, ISBN 0521662710. Artificial intelligence in medicine, 27 (2), 223-226. (more info)
Kappen, H.J., & Wiegerinck, W.A.J.J. (2002). A novel iteration scheme for the cluster variation method. In T.G. Dietterich, S. Becker, & Z. Ghahramani (Eds.), NIPS 2001. Advances in neural information processing systems 14 : proceedings of the 2001 conference (Part 3) (pp. 415-422). Cambridge: MIT Press. (more info)
Kappen, H.J., Wiegerinck, W.A.J.J., & Ter Braak, E. (2002). Decision support for medical diafnosis. In J.Meij (Ed.), Dealing with the data flood. Mining data, text and multimedia (pp. 111-121). The Hague: STT/Bewetong (Study centre for Technology Trends, 65). (more info)
Wiegerinck, W.A.J.J., & Heskes, T.M. (2002). Belief Networks/Bayesan Networks. In J.Meij (Ed.), Dealing with the data flood. Mining data, text and multimedia (pp. 660-665). The Hague: STT / Beweton (Study centre for Technology Trends, 65). (more info)
Wiegerinck, W.A.J.J., & Heskes, T.M. (2002). IPF discrete chain factor graphs. In A. Darwiche, & N. Friedman (Eds.), UAI-2002: The 18th Conference on Uncertainty in Artificial Intelligence (pp. 560-567). (more info)
Kappen, H.J., Gielen, C.C.A.M., Wiegerinck, W.A.J.J., Cemgil, A.T., Heskes, T.M., Nijman, M.J., & Leisink, M.A.R. (2001). Approximate Reasoning: Real-word applications of graphical models. In Y. Uesaka, P. Kanerva, & H. Asoh (Eds.), Foundations of Real-Word Intelligence (pp. 73-122). Stanford, CA: CLSI. (more info)
Westerdijk, M.J.D., Barber, D., & Wiegerinck, W.A.J.J. (2001). Deterministic Generative Models for Fast Feature Discovery. Data Mining and Knowledge Discovery, 5 (4), 337-363. (more info)
Kappen, H.J., & Wiegerinck, W.A.J.J. (2000). Mean field theory for graphical models. In M. Opper, & D. Saad (Eds.), Advanced mean field theory (pp. 37-49). Cambridge, MA: MIT (Neural information processing series). (more info)
Westerdijk, M.J.D., & Wiegerinck, W.A.J.J. (2000). Classification with multiple latent variable models using maximum entropy discrimination. In P.Langley (Ed.), Proceedings of the 17th International Conference on Machine Learning (ICML-2000) (pp. 1143-1150). San Francisco: Kaufmann (The Morgan Kaufmann series in machine-learning). (more info)
Wiegerinck, W.A.J.J.Functional networks with applications: A neural-based paradigm (more info)
Wiegerinck, W.A.J.J. (2000). Variational approximations between mean field theory and the junction tree algorithm. In C. Boutilier, & M. Goldszmidt (Eds.), UAI-2000: The Sixteenth Conference on Uncertainty in Artificial Intelligence (pp. 626-633). San Francisco, CA: Kaufmann. (more info)
Wiegerinck, W.A.J.J. (2000). Variational approximations between mean field theory and the junction tree algorithm. In A.P.J. Van den Bosch, & H. Weigand (Eds.), BNAIC'00: Proceedings of the Twelfth Belgium-Netherlands Artificial Intelligence Conference (pp. 339-340). (more info)
Wiegerinck, W.A.J.J., & Kappen, H.J. (2000). Approximations of Bayesian networks through KL minimisation. New Generation Computing, 18 (2), 167-175. (more info)
Wiegerinck, W.A.J.J., Kappen, H.J., Leisink, M.A.R., Barber, D., Stroeve, S.H., Heskes, T.M., & Gielen, C.C.A.M. (2000). Variational methods for approximate reasoning in graphical models. In Proceedings RWC 2000 (pp. 265-270). Tokyo. (more info)
Barber, D., & Wiegerinck, W.A.J.J. (1999). Tractable variational structures for approximating graphical models. Advances in Neural Information Processing Systems, 11, 183-189. (more info)
Westerdijk, M.J.D., Barber, D., & Wiegerinck, W.A.J.J. (1999). Vector quantisation - Generative vector quantisation. IEE conference publication, 470, 934-939. (more info)
Wiegerinck, W.A.J.J., Kappen, H.J., Nijman, M.J., Ter Braak, E.W.M.T., & Ter Burg, W.J.P. (1999). Approximate inference in medical diagnosis. Pattern Recognition Letters, 20 (12), 1231-1239. (more info)
Kappen, H.J., Wiegerinck, W.A.J.J., Morgan, T., Harris, T.J., Paillet, G., Kopecz, J., Dorronsoro, J., & Chiozza, E. (1998). Stimulation initiative for European neural applications (siena). In H.J. Kappen, & C.C.A.M Gielen (Eds.), Neural Networks in Practice. Proceedings SNN (pp. 1-10). Singapore: World Scientific. (more info)
Krommenhoek, K.P., & Wiegerinck, W.A.J.J. (1998). A neural network study of precollicular saccadic averaging. Biological Cybernetics, 78 (6), 465-478. (more info)
Wiegerinck, W.A.J.J. (et al.) (1998). Variational approximations in a broad and de tailed probabilistic model for medical diagnosis.. In J.A. La Poutré, & J. Van den Herik (Eds.), NAIC'98: Proceedings of the Tenth Netherlands/Belgium Conference on Artificial Intelligence (pp. 185-191). Amsterdam: CWI. (more info)
Wiegerinck, W.A.J.J., & Barber, D. (1998). Mean field theory based on belief for approximate inference. In L. Niklasson, M. Bodén, & T. Ziemke (Eds.), ICANN 98 : proceedings of the 8th International Conference on Artificial Neural Networks (pp. 499-504). Berlin: Springer (Perspectives in neural computing). (more info)
Wiegerinck, W.A.J.J., & Ter Braak, E.W.M.T. (et al.) (1998). Consultant, a prototype decision support system for medical diagnosis (research report). Nijmegen: SNN / UMCU (Technical Report). (more info)
Wiegerinck, W.A.J.J., & Kappen, H.J. (1997). Lab-test selection in diagnosis of anaemia. In Proceedings RWC (pp. 83-88). Tokyo. (more info)
Wiegerinck, W.A.J.J. (1996). Stochastic dynamics of on-line learning in neural networks. Defended 26-01-1996, KUN; prepared: KUN. Prom. prof. dr. C.C.A.M. Gielen. (more info)
Wiegerinck, W.A.J.J., & Heskes, T.M. (1996). How dependencies between succesive examples affect on-line learning. Neural Computation, 8 (8), 1743-1766. (more info)
Wiegerinck, W.A.J.J., & Kappen, H.J. (1996). Doorbraak neurale netwerken afhankelijk van standaardisatie [Break-through neural networks depends on standardization]. Automatisering Gids, 30 (41), 17-18. (more info)
Last modification: 07-09-2004