Employing Discrete Bayes Error rate for discretization and feature selection.
Ankush MittalLoong Fah CheongPublished in: ICDM (2002)
Keyphrases
- feature selection
- discrete space
- bayes error rate
- continuous variables
- conditional entropy
- continuous attributes
- data preprocessing
- mutual information
- feature set
- discretization method
- multi class
- text categorization
- preprocessing
- feature extraction
- machine learning
- neural network
- model selection
- selected features
- preprocessing step
- high dimensionality
- dimensionality reduction
- error rate
- support vector machine
- classification accuracy
- support vector
- feature space
- data mining
- bayes error
- image processing
- continuous data
- lower bound
- training set
- discriminative features
- image analysis
- feature selection algorithms
- multi task
- information gain