Review of Modern Logistic Regression Methods with Application to Small and Medium Sample Size Problems.
Enes MakalicDaniel Francis SchmidtPublished in: Australasian Conference on Artificial Intelligence (2010)
Keyphrases
- sample size
- small sample size
- regression methods
- model selection
- regression model
- small sample
- random sampling
- neural network
- upper bound
- logistic regression
- statistical power
- high dimensionality
- linear regression
- statistical tests
- random sample
- progressive sampling
- partial least squares
- nearest neighbor
- support vector