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Monte Carlo Simulation methods

Monte Carlo Simulation methods

This video was recorded at Machine Learning Summer School (MLSS), Tübingen 2003. The course provides an introduction to independent component analysis and source separation. We start from simple statistical principles; examine connections to information theory and to sparse coding; we give an overview of available algorithmics; we also show how several key ideas of ICA are illuminated by information geometry.
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