Mean-field approaches to independent component analysis
Neural Computation
Inferring parameters and structure of latent variable models by variational bayes
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Gaussian Mean-Shift Is an EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian independent component analysis: Variational methods and non-negative decompositions
Digital Signal Processing
Variational and stochastic inference for Bayesian source separation
Digital Signal Processing
ML estimation for factor analysis: EM or non-EM?
Statistics and Computing
Efficient model-based clustering for LC-MS data
WABI'06 Proceedings of the 6th international conference on Algorithms in Bioinformatics
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We develop the general, multivariate case of the Edgeworth approximation of differential entropy and show that it can be more accurate than the nearest-neighbor method in the multivariate case and that it scales better with sample size. Furthermore, ...