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Efficient EM Training of Gaussian Mixtures with Missing Data
Gaussian mixtures missing data EM algorithm imputation.
2012/11/23
In data-mining applications, we are frequently faced with a large fraction of missing entries in the data matrix, which is problematic for most discriminant machine learning algorithms. A solution tha...
Decision Based Uncertainty Propagation Using Adaptive Gaussian Mixtures
Adaptive Gaussian Sum Decision Making
2011/7/19
Given a decision process based on the approximate probability density function returned by a data assimilation algorithm, an interaction level between the decision making level and the data assimilati...
Decision Based Uncertainty Propagation Using Adaptive Gaussian Mixtures
Adaptive Gaussian Sum Decision Making Uncertainty Propagation Expected Loss
2011/9/29
Abstract: Given a decision process based on the approximate probability density function returned by a data assimilation algorithm, an interaction level between the decision making level and the data ...