Biases in feature selection with missing data.
Borja Seijo-PardoAmparo Alonso-BetanzosKristin P. BennettVerónica Bolón-CanedoJulie JosseMehreen SaeedIsabelle GuyonPublished in: Neurocomputing (2019)
Keyphrases
- missing data
- feature selection
- automatic relevance determination
- missing values
- low rank
- incomplete data
- text categorization
- structure from motion
- dimensionality reduction
- matrix factorization
- information gain
- text classification
- multiple imputation
- mutual information
- motion segmentation
- support vector
- support vector machine
- classification accuracy
- database
- high dimensionality
- imprecise data
- feature set
- dirichlet process mixture models
- data imputation
- feature subset
- model selection
- knn
- feature space
- feature extraction