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- Damien FranÃ§ois, Vincent Wertz, Michel Verleysen
- IEEE Transactions on Knowledge and Dataâ€¦
- 2007

Nearest neighbor search and many other numerical data analysis tools most often rely on the use of the euclidean distance. When data are high dimensional, however, the euclidean distances seem toâ€¦ (More)

- Lalo Magni, Georges Bastin, Vincent Wertz
- IEEE Trans. Contr. Sys. Techn.
- 1999

A new multivariable controller for cement milling circuits is presented, which is based on a nonlinear model of the circuit and on a nonlinear predictive control strategy. Comparisons with previousâ€¦ (More)

1 Projet AxIS, INRIA-Rocquencourt, Domaine de Voluceau, Rocquencourt, B.P. 105, F-78153 Le Chesnay Cedex, France, Fabrice.Rossi@inria.fr. 2 Helsinki University of Technology â€“ Lab. Computer andâ€¦ (More)

- Mohamed Laid Hadjili, Vincent Wertz
- IEEE Trans. Fuzzy Systems
- 2002

- Michel Gevers, Vincent Wertz
- Automatica
- 1984

Al~traet--Multivariable systems can be represented, in a uniquely identifiable way, either by canonical forms or by socalled overlapping forms. The advantage of the latter is that they do not requireâ€¦ (More)

- Damien FranÃ§ois, Vincent Wertz, Michel Verleysen
- ESANN
- 2005

In the context of classification, the dissimilarity between data elements is often measured by a metric defined on the data space. Often, the choice of the metric is often disregarded and theâ€¦ (More)

- Amaury Lendasse, Vincent Wertz, Michel Verleysen
- ICANN
- 2003

This paper compares several model selection methods, based on experimental estimates of their generalization errors. Experiments in the context of nonlinear time series prediction by Radial-Basisâ€¦ (More)

- Michel Verleysen, Damien FranÃ§ois, Geoffroy Simon, Vincent Wertz
- IWANN
- 2003

Modern data analysis often faces high-dimensional data. Nevertheless, most neural network data analysis tools are not adapted to highdimensional spaces, because of the use of conventional conceptsâ€¦ (More)

The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables hopefully can beâ€¦ (More)

- Amaury Lendasse, Vincent Wertz, G. Simon, Magali Verleysen
- 2004 IEEE International Joint Conference onâ€¦
- 2004

Time series forecasting is usually limited to one-step ahead prediction. This goal is extended here to longer-term prediction, obtained using the least-square support vector machines model. Theâ€¦ (More)