MUSE: Minimum Uncertainty and Sample Elimination Based Binary Feature Selection.
Zisheng ZhangKeshab K. ParhiPublished in: IEEE Trans. Knowl. Data Eng. (2019)
Keyphrases
- feature selection
- small sample
- feature selection algorithms
- text categorization
- feature extraction
- sample size
- dimensionality reduction
- feature weighting
- text classification
- feature set
- multi task
- feature subset
- expected utility
- mutual information
- classification accuracy
- irrelevant features
- support vector
- inherent uncertainty
- non binary
- unsupervised feature selection
- data sets
- multi class
- feature space
- machine learning
- microarray data
- hamming distance
- high dimensionality
- cross validation
- unsupervised learning
- bayesian networks