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: Neural Comput. (2007)
Keyphrases
- general regression neural networks
- maximum likelihood estimation
- parameter estimation
- generalized cross validation
- maximum likelihood
- update equations
- parameters estimation
- accurate estimation
- parameter values
- input parameters
- regularization parameter
- parametric models
- estimation process
- measured data
- parameter selection
- posterior probability
- sensitivity analysis
- information theoretic
- data driven
- learning algorithm
- parameter settings
- context sensitive
- generative model
- continuous valued
- probabilistic model
- bayesian networks