Scalable Greedy Feature Selection via Weak Submodularity.
Rajiv KhannaEthan R. ElenbergAlexandros G. DimakisSahand N. NegahbanJoydeep GhoshPublished in: CoRR (2017)
Keyphrases
- feature selection
- forward selection
- feature selection algorithms
- text categorization
- mutual information
- text classification
- feature set
- multi class
- information gain
- greedy algorithm
- classification accuracy
- diminishing returns
- microarray data
- high dimensionality
- machine learning
- feature space
- support vector
- model selection
- irrelevant features
- highly scalable
- feature extraction
- bayesian networks
- naive bayes
- unsupervised learning
- dimensionality reduction
- gene expression data
- feature subset
- social networks
- gene selection
- selected features
- discriminative features
- support vector machine
- unsupervised feature selection
- data mining