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Nonlinear Independent Component Analysis Using Ensemble Learning: Experiments and Discussion

Harri Valpola1, Xavier Giannakopoulos2, Antti Honkela1 and Juha Karhunen1

1Helsinki University of Technology, Neural Networks Research Centre
P.O.Box 5400, FIN-02015 HUT, Espoo, Finland
2IDSIA, Galleria 2, CH-6928 Manno, Switzerland
E-mail:,,, URL:


In this paper, we present experimental results on a nonlinear independent component analysis approach based on Bayesian ensemble learning. The theory of the method is discussed in a companion paper. Simulations with artificial and natural data demonstrate the feasibility and good performance of the proposed approach. We also discuss the relationships of the method to other existing methods.


Harri Valpola