Multi-Label Cost-Sensitive Feature Selection Algorithm In Incomplete Data.
Qin HuangWenbin QianWenhao ShuBinglong WuShuangshuang FengPublished in: ICMLC (2018)
Keyphrases
- multi label
- incomplete data
- cost sensitive
- feature selection algorithms
- feature selection
- text categorization
- misclassification costs
- text classification
- missing data
- missing values
- binary classification
- image classification
- learning tasks
- bayesian networks
- cost sensitive learning
- graph cuts
- em algorithm
- class distribution
- class labels
- feature set
- data sets
- naive bayes
- multi class
- class imbalance
- learning models
- neural network
- machine learning
- feature subset
- higher order
- image segmentation
- data mining
- unsupervised learning
- k nearest neighbor
- base classifiers
- support vector machine
- classification accuracy
- feature space
- pattern recognition