Information-theoretic approach to variable selection in predictive models applied to paper machine data.
Elena IvannikovaTimo HämäläinenKari LuostarinenPublished in: ISCC (2013)
Keyphrases
- variable selection
- data sets
- input variables
- predictive model
- image data
- data points
- knowledge discovery
- high dimensional data
- data analysis
- linear models
- data mining techniques
- cross validation
- raw data
- database
- probabilistic model
- high dimensional
- feature space
- model selection
- labeled data
- clustering method
- neural network model
- training data