Application of entropy measures with uncertainty in classification methods with missing data problem.
Barbara PekalaDawid KosiorKrzysztof DyczkowskiJaroslaw SzkolaPublished in: FUZZ-IEEE (2021)
Keyphrases
- missing data
- missing values
- incomplete data
- structure from motion
- decision trees
- machine learning
- multiple imputation
- model selection
- cross validation
- automatic relevance determination
- data sets
- imprecise data
- k nearest neighbour
- matrix factorization
- class labels
- text classification
- support vector
- training data
- feature extraction
- learning algorithm