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0111 · Oct 201619922001200920182026
2 results for Tri-factorisation

Fast Bayesian NMF and Tri-Factorisation with improved convergence.

problem Difficult convergence in matrix tri-factorisation.
method Variational Bayesian algorithm for non-negative matrix factorisation and tri-factorisation.
result Faster convergence per iteration and wall-clock time than Gibbs sampling and non-probabilistic approaches.

The paper compares inference methods for Bayesian nonnegative matrix factorisation.

problem Improving prediction accuracy and pattern discovery in nonnegative matrix factorisation.
method Compared non-probabilistic, Gibbs sampling, variational Bayesian, and maximum-a-posteriori approaches.
result Variational Bayesian inference is a new and efficient approach for Bayesian nonnegative models.