Keyphrases
- regression model
- parameter estimation
- model selection
- neural network
- prediction model
- maximum likelihood
- markov random field
- regression analysis
- cross validation
- random fields
- regression methods
- least squares
- generalized linear models
- statistical models
- support vector regression
- parameter estimation algorithm
- em algorithm
- gaussian process
- artificial neural networks
- expectation maximization
- posterior distribution
- sample size
- neural network model
- linear model
- approximate inference
- estimation problems
- hyperparameters
- explanatory variables
- linear regression model
- interval valued data
- bp neural network
- multivariate regression
- regression trees
- markov chain monte carlo
- variable selection
- feature selection
- machine learning
- data mining