Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper.
Mark A. HallLloyd A. SmithPublished in: FLAIRS Conference (1999)
Keyphrases
- feature selection
- machine learning
- wrapper method
- preprocessing step
- support vector machine
- sequential forward
- text classification
- mutual information
- text categorization
- classification accuracy
- feature ranking
- feature set
- information gain
- model selection
- feature selection algorithms
- support vector
- knowledge acquisition
- high dimensionality
- dimensionality reduction
- feature space
- feature subset selection
- multi class
- classification models
- data mining
- inductive learning
- irrelevant features
- active learning
- feature extraction
- machine learning algorithms
- learning algorithm
- unsupervised learning
- microarray data
- feature subset
- multi task
- information extraction
- natural language processing
- natural language
- feature engineering
- knowledge representation
- filtering algorithm
- artificial intelligence
- text mining
- computer vision
- noise reduction
- learning tasks
- learning systems