Maximum Expectation Algorithms for Missing Data Estimation

Two sets of hybrid techniques have recently emerged for the imputation of missing data. These are, first, the combination of the Gaussian Mixtures Model and the Expectation Maximization algorithms (the GMM-EM) and second, the combination of Auto-Associative Neural Networks with Evolutionary Optimiza... View More