A logistic regression model for small sample classification problems with hidden variables and non-linear relationships: an application in business analytics.
Aleksandra MojsilovicPublished in: ICASSP (5) (2005)
Keyphrases
- regression model
- small sample
- hidden variables
- business analytics
- sample size
- bayesian networks
- model selection
- latent variables
- probabilistic model
- generative model
- em algorithm
- bayesian inference
- business intelligence
- prediction model
- high dimensional
- logistic regression
- missing values
- high dimensionality
- neural network
- ls svm
- data mining
- incomplete data
- support vector machine
- prior information
- incremental learning
- network structure
- posterior distribution
- competitive advantage
- feature selection