Hierarchical Classification and Regression with Feature Selection.
Shih-Wen KeChi-Wei YehPublished in: IEEM (2019)
Keyphrases
- hierarchical classification
- feature selection
- text classification
- supervised feature selection
- support vector machines for classification
- hierarchical structure
- model selection
- support vector
- regression model
- regression problems
- text categorization
- classification algorithm
- linear regression
- classification accuracy
- support vector regression
- machine learning
- feature set
- feature extraction
- training data
- feature selection algorithms
- support vector machine
- real world
- feature selection and classification
- feature space
- multi task
- computer vision
- learning algorithm
- naive bayes
- neural network
- image features