The Consistency of MDL for Linear Regression Models With Increasing Signal-to-Noise Ratio.
Daniel Francis SchmidtEnes MakalicPublished in: IEEE Trans. Signal Process. (2012)
Keyphrases
- signal to noise ratio
- linear regression models
- noise reduction
- least squares
- regression analysis
- model selection
- matched filter
- regression trees
- received signal
- linear regression model
- machine learning
- spatial filtering
- edge detection
- minimum mean square error
- bit error rate
- interval valued data
- gaussian noise
- noise level
- maximum likelihood
- probabilistic model
- regression model
- artificial neural networks
- support vector
- neural network