Speedy greedy feature selection: Better redshift estimation via massive parallelism.
Fabian GiesekeKai Lars PolstererCosmin Eugen OanceaChristian IgelPublished in: ESANN (2014)
Keyphrases
- feature selection
- forward selection
- text categorization
- mutual information
- text classification
- support vector machine
- feature set
- estimation algorithm
- irrelevant features
- data analysis
- classification accuracy
- multi class
- feature selection algorithms
- parallel processing
- high dimensionality
- machine learning
- estimation accuracy
- accurate estimation
- parameter estimation
- dimensionality reduction
- microarray data
- feature extraction
- information gain
- robust estimation
- search algorithm
- support vector
- message passing
- model selection
- selected features
- feature weighting
- dynamic programming
- feature space
- small sample