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A novel structure learning algorithm for Bayesian Networks based on the Phyasrum Solver is introduced. First, the algorithm calculates pair wise correlation coefficients in the dataset. Within an initially fully connected Physarum-Maze, the length of the connections is given by the inverse correlation coefficient between the connected nodes. Then, the shortest indirect paths between each two nodes...
Although non-negative matrix factorization has become a popular data analysis tool for non-negative data sets, there are still some issues remaining partly unsolved. We investigate the potential of Bayesian techniques towards the solution of two important open questions concerning uniqueness and actual number of sources underlying the data. We derive a general Bayesian optimality condition for NMF...
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