Dynamic feature selection method with minimum redundancy information for linear data.
HongFang ZhouJing WenPublished in: Appl. Intell. (2020)
Keyphrases
- synthetic data
- prior knowledge
- raw data
- statistical information
- prior information
- feature selection
- data sets
- user input
- test data
- information sources
- missing data
- extracted knowledge
- information loss
- data collection
- input data
- redundant data
- historical data
- noisy data
- temporal information
- machine learning
- concept hierarchy
- intensity images
- statistical methods
- feature set
- background knowledge
- sensor data
- computer systems
- irrelevant features
- classification accuracy
- similarity measure
- support vector machine
- training data
- training samples
- information extraction
- domain experts
- sensitive information
- objective function
- text categorization
- support vector machine svm
- data structure
- data analysis
- data points
- missing values
- end users
- classification method