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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: Harri.Valpola@hut.fi, Xavier@idsia.ch, Antti.Honkela@hut.fi,
Juha.Karhunen@hut.fi URL: http://www.cis.hut.fi/
Abstract:
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
2000-03-03