Reference : Self-Organization by Optimizing Free-Energy
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/11060
Self-Organization by Optimizing Free-Energy
English
Verbeek, J. J. [> >]
Vlassis, Nikos mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Kröse, B. J. A. [> >]
2003
Proc. of European Symposium on Artificial Neural Networks
125-130
Yes
European Symposium on Artificial Neural Networks
2003
[en] We present a variational Expectation-Maximization algorithm to learn probabilistic mixture models. The algorithm is similar to Kohonen's Self-Organizing Map algorithm and not limited to Gaussian mixtures. We maximize the variational free-energy that sums data log-likelihood and Kullback-Leibler divergence between a normalized neighborhood function and the posterior distribution on the components, given data. We illustrate the algorithm with an application on word clustering.
http://hdl.handle.net/10993/11060

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