A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification.
Qurrat UI AinBing XueHarith Al-SahafMengjie ZhangPublished in: ICDM (Workshops) (2022)
Keyphrases
- genetic programming
- classification rules
- decision trees
- gene expression programming
- fitness function
- classification accuracy
- machine learning
- image classification
- feature extraction
- classification scheme
- image analysis
- automatic classification
- classification method
- pre classified
- regression problems
- breast cancer
- support vector machine svm
- support vector
- text classification
- pattern recognition
- feature vectors
- financial forecasting
- supervised learning
- rule sets
- pattern classification
- training samples
- symbolic regression
- feature space
- density function
- preprocessing
- breast tissue
- relevant attributes
- training set
- classification algorithm
- cross validation
- training data