Medium and high-dimensionality attribute selection in Bayes-type classifiers.
Antonio J. Tallón-BallesterosLuís CorreiaPublished in: IWOBI (2017)
Keyphrases
- high dimensionality
- attribute selection
- decision trees
- feature selection
- classification models
- decision tree induction
- high dimensional
- feature space
- naive bayes
- support vector
- feature ranking
- high dimensional data
- dimensionality reduction
- information gain
- microarray
- feature selection and classification
- support vector machine
- logistic regression
- text categorization
- mutual information
- small sample size
- feature set
- data mining methods
- machine learning
- class imbalance
- classification accuracy
- training set
- text classification
- probability estimation
- training samples
- svm classifier
- cross validation
- class labels
- text mining
- multi class
- feature selection algorithms
- induction algorithms