Fitting Gaussian mixture models on incomplete data.
Zachary R. McCawHugues AschardHanna JuliennePublished in: BMC Bioinform. (2022)
Keyphrases
- incomplete data
- gaussian mixture model
- em algorithm
- parameter estimation
- mixture model
- expectation maximization
- learning bayesian networks
- maximum likelihood
- missing data
- maximum likelihood estimation
- incomplete data sets
- bayesian networks
- speaker recognition
- speaker identification
- covariance matrices
- missing values
- hyperparameters
- generative model
- feature vectors
- density estimation
- maximum a posteriori
- data sets
- log likelihood function
- machine learning
- log likelihood
- object recognition
- probability density function
- supervised learning
- principal component analysis