Mixtures of regression models with incomplete and noisy data.
Byoung Cheol JungSooyoung CheonHwa Kyung LimPublished in: Commun. Stat. Simul. Comput. (2018)
Keyphrases
- noisy data
- regression model
- missing data
- prediction model
- regression methods
- model selection
- mixture model
- linear model
- missing values
- noise tolerant
- regression analysis
- input data
- noise free
- expectation maximization
- regression trees
- generalized linear models
- survival analysis
- learning from noisy data
- high dimensional
- explanatory variables
- generalized linear
- machine learning
- multivariate regression
- neural network
- high dimensionality
- em algorithm
- regression method
- pattern recognition
- training data