Parallel Feature Selection Inspired by Group Testing.
Yingbo ZhouUtkarsh PorwalCe ZhangHung Q. NgoLong NguyenChristopher RéVenu GovindarajuPublished in: NIPS (2014)
Keyphrases
- group testing
- feature selection
- disjoint sets
- text categorization
- parallel processing
- parallel implementation
- support vector
- feature selection algorithms
- naive bayes
- text classification
- dimensionality reduction
- method for feature selection
- parallel hardware
- information gain
- classification accuracy
- feature set
- feature extraction
- data sets
- machine learning
- genetic algorithm
- learning algorithm
- unsupervised feature selection
- multi core processors
- parallel programming
- computer architecture
- feature weighting
- selected features
- massively parallel
- database systems
- multi task
- feature space
- feature subset
- high dimensionality
- knn
- model selection
- multi class
- image compression
- mutual information