Imputation using training labels and classification via label imputation.
Thu NguyenPål HalvorsenMichael A. RieglerPublished in: CoRR (2023)
Keyphrases
- class labels
- training set
- missing data
- missing values
- multiple imputation
- multi label
- multi label classification
- supervised learning
- training phase
- training examples
- data imputation
- labeling effort
- training process
- training samples
- multi label learning
- classification accuracy
- machine learning
- decision trees
- pattern recognition
- labeling process
- annotation effort
- active learning framework
- support vector
- feature space
- label information
- multiple labels
- labelled data
- label space
- multi instance learning
- imputation methods
- fully labeled
- incomplete data
- feature extraction
- classification algorithm
- support vector machine svm
- support vector machine
- text classification
- statistical databases
- semi supervised
- category labels
- feature vectors
- partially labeled
- class membership
- nearest neighbor
- labeled images
- output space
- labeled data
- image labeling
- active learning
- pairwise
- label propagation
- training data
- multi layer perceptron
- feature selection
- neural network
- data sets