Causal Feature Selection with Missing Data.
Kui YuYajing YangWei DingPublished in: ACM Trans. Knowl. Discov. Data (2022)
Keyphrases
- missing data
- feature selection
- automatic relevance determination
- missing values
- incomplete data
- matrix factorization
- structure from motion
- low rank
- mutual information
- text categorization
- data imputation
- imprecise data
- motion segmentation
- multiple imputation
- information gain
- missing information
- text classification
- bayesian networks
- databases
- model selection
- machine learning
- probabilistic model
- classification accuracy
- high dimensionality
- feature set
- support vector machine
- feature subset
- feature extraction
- least squares
- dimensionality reduction