Improving Multilabel Classification by Avoiding Implicit Negativity with Incomplete Data.
Derrall HeathDan VenturaPublished in: Comput. Intell. (2014)
Keyphrases
- incomplete data
- multilabel classification
- instance based learning
- learning bayesian networks
- multi label
- missing data
- missing values
- bayesian networks
- incomplete data sets
- em algorithm
- lazy learning
- logistic regression
- text categorization
- data sets
- rule induction
- nearest neighbor
- graph cuts
- classification accuracy
- support vector
- data mining