Keyphrases
- em algorithm
- multiple linear regression
- software effort
- maximum likelihood
- bayesian model selection
- incomplete data
- regression model
- expectation maximization
- mixture model
- gaussian mixture model
- parameter estimation
- software reliability
- input variables
- prediction model
- generative model
- expectation maximisation
- gaussian processes
- hyperparameters
- bayesian networks
- density estimation
- model selection
- mixture modeling
- missing data
- radial basis function network
- linear regression
- maximum a posteriori
- cross validation
- effort estimation
- missing values
- support vector regression
- bayesian inference
- artificial neural networks