Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers.
Maurizio Ferrari DacremaFabio MoroniRiccardo NembriniNicola FerroGuglielmo FaggioliPaolo CremonesiPublished in: SIGIR (2022)
Keyphrases
- feature selection
- accurate classification
- classification accuracy
- feature ranking
- text classification
- feature extraction
- discriminative features
- support vector machine
- feature selection algorithms
- pattern recognition
- classification models
- unsupervised learning
- feature set
- information gain
- image classification
- feature subset
- model selection
- high dimensionality
- supervised learning
- method for feature selection
- text categorization
- classification performances
- support vector
- decision trees
- machine learning
- small sample
- bayes classifier
- feature subset selection
- correlation based feature selection
- feature space
- multi class
- support vector machine svm
- data sets
- irrelevant features
- feature vectors
- mutual information
- machine learning algorithms
- benchmark datasets
- cross validation
- microarray data
- classification method
- ranking algorithm
- learning algorithm
- ordinal data
- class separability
- unsupervised feature selection
- individual features
- feature reduction
- classification algorithm
- microarray datasets
- class imbalance
- naive bayes
- bayesian classifier