The rates of convergence of neural network estimates of hierarchical interaction regression models.
Michael KohlerAdam KrzyzakPublished in: ISIT (2016)
Keyphrases
- regression model
- rates of convergence
- neural network
- prediction model
- model selection
- regression analysis
- regression methods
- linear model
- gaussian process
- genetic algorithm
- support vector regression
- artificial neural networks
- regression function
- empirical risk
- expectation maximization
- bp neural network
- neural network model
- decision boundary
- back propagation
- regression method
- probabilistic model