Minimum Message Length Ridge Regression for Generalized Linear Models.
Daniel F. SchmidtEnes MakalicPublished in: Australasian Conference on Artificial Intelligence (2013)
Keyphrases
- generalized linear models
- ridge regression
- minimum message length
- linear regression
- regression methods
- regression model
- unsupervised learning
- logistic regression
- least squares
- regression method
- expectation maximization
- partial least squares
- neural network
- generative model
- em algorithm
- support vector regression
- regression analysis
- semi supervised
- optical flow