Feature Selection via Quantum Annealers for Ranking and Classification Tasks.
Maurizio Ferrari DacremaFabio MoroniRiccardo NembriniNicola FerroGuglielmo FaggioliPaolo CremonesiPublished in: IIR (2022)
Keyphrases
- feature selection
- feature ranking
- probability ranking principle
- ranking algorithm
- text categorization
- quantum computation
- ranking functions
- web search
- learning to rank
- feature selection algorithms
- accurate classification
- multi class
- text classification
- support vector
- information gain
- model selection
- feature extraction
- classification accuracy
- feature set
- neural network
- high dimensionality
- mutual information
- feature space
- information retrieval
- microarray data
- classification models
- dimensionality reduction
- user feedback
- multi task
- image retrieval
- feature weighting
- pairwise
- individual features
- unsupervised feature selection
- quantum computing
- machine learning