Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks.
Mingyu ZhongDave CoggeshallEhsan GhaneieThomas PopeMark RiveraMichael GeorgiopoulosGeorgios C. AnagnostopoulosMansooreh MollaghasemiSamuel RichiePublished in: IJCNN (2006)
Keyphrases
- general regression neural networks
- maximum likelihood estimation
- parameter estimation
- parameter values
- estimation process
- parameter selection
- nonparametric regression
- maximum likelihood
- data driven
- bayesian networks
- generalized cross validation
- sensitivity analysis
- posterior probability
- data sets
- parameters estimation
- input parameters
- continuous valued
- parameter settings
- estimated parameters
- parametric models
- parameter space
- information theoretic
- generative model
- neural network