W. Mulder

发表

MODELING UNCERTAINTY IN THE CONTEXT OF FINITE ELEMENT MODELS WITH DISTANCE-BASED INTERPOLATION

D. Moens, D. Vandepitte, W. Mulder, 2012 .

Extending Gaussian process emulation using cluster analysis and artificial neural networks to fit big training sets

Geert Molenberghs, Geert Verbeke, Wim De Mulder, 2018, J. Simulation.

Statistical Emulation Applied to a Very Large Data Set Generated by an Agent-based Model

Geert Verbeke, Wim De Mulder, Bernhard Rengs, 2015 .

A survey on the application of recurrent neural networks to statistical language modeling

Marie-Francine Moens, Steven Bethard, Wim De Mulder, 2015, Comput. Speech Lang..

A collaboration between judge and machine to reduce legal uncertainty in disputes concerning ex aequo et bono compensations

P. Valcke, W. De Mulder, W. Mulder, 2022, Artificial Intelligence and Law.

Instability and cluster stability variance for real clusterings

Wim De Mulder, W. Mulder, 2014, Inf. Sci..

An interpretation of radial basis function networks as zero-mean Gaussian process emulators in cluster space

Geert Molenberghs, Wim De Mulder, Geert Verbeke, 2020, J. Comput. Appl. Math..

Evaluation of some validation measures for Gaussian process emulation: a case study with an agent-based model

Geert Molenberghs, Geert Verbeke, Wim De Mulder, 2016 .

A Comparison of Some Simple and Complex Surrogate Models: Make Everything as Simple as Possible?

Geert Verbeke, Wim De Mulder, Bernhard Rengs, 2016 .